Difference between revisions of "Web Resources"
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*[http://www.ncbi.nlm.nih.gov/CCDS/CcdsBrowse.cgi CCDS] The concensus protein coding regions among NCBI, Ensembl, and Sanger (Havana) annotation | *[http://www.ncbi.nlm.nih.gov/CCDS/CcdsBrowse.cgi CCDS] The concensus protein coding regions among NCBI, Ensembl, and Sanger (Havana) annotation | ||
*[http://www.gencodegenes.org/ GENCODE] The Encyclopedia of Genes | *[http://www.gencodegenes.org/ GENCODE] The Encyclopedia of Genes | ||
+ | *[https://metascape.org/ Metasape] Gene annotation and Enrichment analysis resource by NIH | ||
== Variome Resources == | == Variome Resources == | ||
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- GWAS resources | - GWAS resources | ||
− | *[ | + | *[https://www.covid19hg.org/results/ COVID-19 Host Genetics Inititative]COVID-19 GWAS regulsts |
+ | *[https://atlas.ctglab.nl/ GWAS ATLAS] Atlas of GWAS Summary Statistics (most comprehensive!) | ||
*[http://www.ebi.ac.uk/gwas/ GWAS catalog] Disease-associated variants; Now providing GWAS summary stat data | *[http://www.ebi.ac.uk/gwas/ GWAS catalog] Disease-associated variants; Now providing GWAS summary stat data | ||
+ | *[http://geneatlas.roslin.ed.ac.uk/ GeneATLAS] GWAS for ~780 traits using 452,264 UK Biobank White British individuals | ||
+ | *[http://www.ncbi.nlm.nih.gov/gap/phegeni PheGenI] Phenotype-Genotype Integrator: For a query trait, it return GWAS loci collected from all available data resources (very convenient to make a single GWAS data set for each trait) | ||
*[http://ldsc.broadinstitute.org/ldhub/ LDHUB] a centralized database of summary-level GWAS results | *[http://ldsc.broadinstitute.org/ldhub/ LDHUB] a centralized database of summary-level GWAS results | ||
*[http://apps.nhlbi.nih.gov/Grasp/ Genome-wide Repository of Associations between SNPs and Phenotypes (GRASP)] Better than GWAS catalog, including eQTL,QTLs | *[http://apps.nhlbi.nih.gov/Grasp/ Genome-wide Repository of Associations between SNPs and Phenotypes (GRASP)] Better than GWAS catalog, including eQTL,QTLs | ||
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== Interactome, Pathway/Signature Resources == | == Interactome, Pathway/Signature Resources == | ||
- Interactome DBs | - Interactome DBs | ||
− | *[ | + | *[https://irefindex.vib.be/wiki/index.php/iRefIndex iRefIndex] provides an index of protein interactions available in a number of primary interaction databases including BIND, BioGRID, CORUM, DIP, HPRD, InnateDB, IntAct, MatrixDB, MINT, MPact, MPIDB, MPPI, Reactome, VirHostnet, and QuickGO. |
*[http://string-db.org/ STRING] Known and predicted PPI | *[http://string-db.org/ STRING] Known and predicted PPI | ||
*[http://interactome.baderlab.org/ Human Reference Interactome Project] Y2H-based human protein interactions | *[http://interactome.baderlab.org/ Human Reference Interactome Project] Y2H-based human protein interactions | ||
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- Signature Gene Set DBs | - Signature Gene Set DBs | ||
*[http://software.broadinstitute.org/gsea/msigdb MsigDB] License required for redistribution | *[http://software.broadinstitute.org/gsea/msigdb MsigDB] License required for redistribution | ||
− | *[http://www.genesigdb.org/genesigdb/ GeneSigDB] | + | *[http://www.genesigdb.org/genesigdb/ GeneSigDB] Manually curated gene sets from Pubmed literature |
+ | *[https://www.immunespace.org/announcements/home/thread.view?rowId=50 ImmnuneSigDB] Compendium of immune signatures (now available from MsigDB) | ||
+ | *[http://biocc.hrbmu.edu.cn/CancerSEA/goDownload CancerSEA] which provides 14 signature profiles for characterization of cancer cells | ||
*[http://tanlab.ucdenver.edu/DSigDB/DSigDBv1.0/ DSigDB] Drug signature database for gene set analysis | *[http://tanlab.ucdenver.edu/DSigDB/DSigDBv1.0/ DSigDB] Drug signature database for gene set analysis | ||
*[http://amp.pharm.mssm.edu/L1000CDS2/help/ L1000CDS2] Return 50 signature genes for each LINCS L1000 data set using Characteristic Direction (CD) method | *[http://amp.pharm.mssm.edu/L1000CDS2/help/ L1000CDS2] Return 50 signature genes for each LINCS L1000 data set using Characteristic Direction (CD) method | ||
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*[http://lulab.life.tsinghua.edu.cn/postar/ POSTAR] a DB of RNA binding protein binding sites in human and mouse transcriptome (experimental and computational methods) | *[http://lulab.life.tsinghua.edu.cn/postar/ POSTAR] a DB of RNA binding protein binding sites in human and mouse transcriptome (experimental and computational methods) | ||
− | == Single Cell | + | == Single Cell Analysis Resources == |
− | - | + | - Spatial Omics Resources |
+ | *[https://github.com/crazyhottommy/awesome_spatial_omics awesome_spatial_omics] | ||
+ | - Human Cell Atlas | ||
+ | *[https://www.humancellatlas.org/ HCA] | ||
+ | *[https://chanzuckerberg.com/science/programs-resources/humancellatlas/ Chan Zukerburg Initiative HCA seed networks] | ||
+ | *[https://www.covid19cellatlas.org/ COVID-19 Cell Atlas] Data portal by HCA | ||
+ | - scRNA-seq data analysis resources | ||
+ | *[https://satijalab.org/seurat/ Seurat] The package for scRNA-seq data analysis | ||
+ | *[https://velocyto.org Velocyto] RNA Velocity analysis with steady-state model | ||
+ | *[https://scvelo.org scVelo] Generalized RNA Velocity analysis through dynamic modeling | ||
+ | *[https://www.sanger.ac.uk/science/tools/scrna-seq-analysis-course scRNA-seq analysis course by Sanger] | ||
+ | *[https://www.cellphonedb.org/ CellPhoneDB] A repository of curated receptors, ligands and their interactions. | ||
*[https://github.com/seandavi/awesome-single-cell Awesome single cell] | *[https://github.com/seandavi/awesome-single-cell Awesome single cell] | ||
*[https://www.scrna-tools.org/ scRNA-tools DB] | *[https://www.scrna-tools.org/ scRNA-tools DB] | ||
− | - | + | - Depositories for scRNA-seq data |
*[https://portals.broadinstitute.org/single_cell Single Cell Portal] scRNA-seq database by Broad Institute | *[https://portals.broadinstitute.org/single_cell Single Cell Portal] scRNA-seq database by Broad Institute | ||
*[https://bioinfo.uth.edu/scrnaseqdb/ scRNASeqDB] scRNA-seq database by UTHSC | *[https://bioinfo.uth.edu/scrnaseqdb/ scRNASeqDB] scRNA-seq database by UTHSC | ||
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==Chemical Biology and Drug Research Resources== | ==Chemical Biology and Drug Research Resources== | ||
+ | - Prioritizing Drugs for target gene regulation | ||
+ | *[https://maayanlab.cloud/DGB/ Drug Gene Budger] based on LINCS, GEO, CMAP data [https://pubmed.ncbi.nlm.nih.gov/30169739/ DGB reference] | ||
- Drug and Bioactive chemical DBs | - Drug and Bioactive chemical DBs | ||
*[https://clue.io/repurposing Drug Repurposing Hub] a best-in-class drug screening collection of >3,000 clinical drugs and their annotation (structure, MoA, protein targets) | *[https://clue.io/repurposing Drug Repurposing Hub] a best-in-class drug screening collection of >3,000 clinical drugs and their annotation (structure, MoA, protein targets) | ||
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- Drug Target DBs | - Drug Target DBs | ||
+ | *[https://www.dgidb.org/ DGIdb] An integrated Drug-Gene Interaction DB | ||
*[https://www.ncbi.nlm.nih.gov/pubmed/27910877 A curated drug-target map] by curation of [https://www.ebi.ac.uk/chembl/ ChEMBL database], [http://drugcentral.org/ DrugCentral database], [https://cansar.icr.ac.uk/ canSAR knowledge base] (Gold Standard drug-target) | *[https://www.ncbi.nlm.nih.gov/pubmed/27910877 A curated drug-target map] by curation of [https://www.ebi.ac.uk/chembl/ ChEMBL database], [http://drugcentral.org/ DrugCentral database], [https://cansar.icr.ac.uk/ canSAR knowledge base] (Gold Standard drug-target) | ||
− | |||
*[http://www.genome.jp/kegg/drug/ KEGG DRUG] contains information about only approved drugs | *[http://www.genome.jp/kegg/drug/ KEGG DRUG] contains information about only approved drugs | ||
*[http://stitch.embl.de/ STITCH] DB for known and predicted chemical-protein interaction | *[http://stitch.embl.de/ STITCH] DB for known and predicted chemical-protein interaction | ||
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== Cancer Biology Resources == | == Cancer Biology Resources == | ||
- Cancer Somatic Mutations DBs | - Cancer Somatic Mutations DBs | ||
+ | *[https://search.cancervariants.org/ meta-knowledgebase of somatic variants] Harmonized integration of Cancer Genome Interpreter, CIVIC, JAX-CKB, MolecularMatch, OncoKB, PMKB | ||
*[http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/ COSMIC(The Catalog Of Somatic Mutations In Cancer)] By Sanger with expert curation | *[http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/ COSMIC(The Catalog Of Somatic Mutations In Cancer)] By Sanger with expert curation | ||
*[http://docm.info DoCM] A database of functional variants validated in cancer | *[http://docm.info DoCM] A database of functional variants validated in cancer | ||
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- Cancer Genomics Data Analysis Cloud Platforms | - Cancer Genomics Data Analysis Cloud Platforms | ||
+ | *[http://xena.ucsc.edu/ UCSC Xena] An online exploration tool for public (TCGA, ICGC and more) and private, multi-omic and clinical/phenotype data | ||
*[http://cgc.systemsbiology.net/ ISB-CGC] Cancer Genomics Cloud by ISB | *[http://cgc.systemsbiology.net/ ISB-CGC] Cancer Genomics Cloud by ISB | ||
*[http://mev.tm4.org WebMeV] Analysis of large genomic data, particularly for RNASeq and microarray data (TCGA, GEO, or user-uploaded). | *[http://mev.tm4.org WebMeV] Analysis of large genomic data, particularly for RNASeq and microarray data (TCGA, GEO, or user-uploaded). | ||
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*[http://colt.ccbr.utoronto.ca/cancer/ COLT-cancer database] shRNA-based essential gene profiles for 70 breast, pancreatic, ovarian cancer cell lines | *[http://colt.ccbr.utoronto.ca/cancer/ COLT-cancer database] shRNA-based essential gene profiles for 70 breast, pancreatic, ovarian cancer cell lines | ||
− | == | + | == Immunogenetics DBs and tools == |
− | + | *[https://www.iedb.org/ Immune Epitope Database] The most comprehensive (immunogenic and pathogenic) epitope database | |
− | *[https://www. | + | *[http://projects.met-hilab.org/tadb/ TANTIGEN] Tumor T-cell Antigen database (>1000 peptides by literature curation) |
− | *[http:// | + | *[https://caped.icp.ucl.ac.be/about Cancer Antigenic Peptide Database] ~400 peptides by literature curation |
− | *[https:// | + | |
− | + | == Microbiomics DBs and tools == | |
− | - | + | - Gut microbial biobank by Automated culturomics |
− | + | *[http://microbial-culturomics.com/] CAMII biobank | |
− | *[http:// | + | |
− | + | - Microbiome Data Analysis Resources | |
− | *[ | + | *[https://www.youtube.com/playlist?list=PLOPiWVjg6aTzsA53N19YqJQeZpSCH9QPc Microbiome Discovery] Awesome Lectures by Dan Knight |
*[http://huttenhower.sph.harvard.edu/ Huttenhower Lab] A great resource for analysis tools | *[http://huttenhower.sph.harvard.edu/ Huttenhower Lab] A great resource for analysis tools | ||
− | - Bacterial | + | *[https://hcmph.sph.harvard.edu/ Harvard Chan Microbiome in Public Health Center (HCMPH)] |
− | *[https://kctc.kribb.re.kr/kctc.aspx Korean Collection for Type Cultures | + | |
− | *[https://www.atcc.org/ ATCC] | + | - Microbiome Catalogs and Taxonomy |
+ | *[https://gtdb.ecogenomic.org/ GTDB] BACTERIAL GENOME TAXONOMY DATABASE | ||
+ | *[https://www.mbiomenet.org/HRGM/ HRGM] Human Reference Gut Microbiome by Yonsei University | ||
+ | *[https://www.ebi.ac.uk/metagenomics/genomes UHGG] Unified Human Gastrointestinal Genome by EBI | ||
+ | *[http://gmgc.embl.de/ GMGC] Global Microbial Gene Catalog by EMBL | ||
+ | |||
+ | -Microbiome-Disease(drug, diet) interaction DBs | ||
+ | *[https://disbiome.ugent.be/ Disbiome] Microbe-Disease interactions | ||
+ | *[http://www.aiddlab.com/MASI/ MASI] Microbe-Drug(Disease, Diet) interactions | ||
+ | *[http://bio-annotation.cn/gutMDisorder/ gutMDisorder] Microbe-Disease(Diet) interactions | ||
+ | |||
+ | - Metagenomic DB | ||
+ | *[https://www.ebi.ac.uk/metagenomics/ MGnify] by EBI, UK | ||
+ | *[https://img.jgi.doe.gov/cgi-bin/m/main.cgi IMG] Integrated Microbial Genomes by Joint Genome Institute of DOE, US | ||
+ | *[http://hmp2.org/ The integrative HMP] | ||
+ | |||
+ | - Bacterial Culture Collection | ||
+ | *[https://kctc.kribb.re.kr/kctc.aspx KCTC] Korean Collection for Type Cultures | ||
+ | *[https://www.atcc.org/ ATCC Microbiology collection] | ||
+ | *[https://www.dsmz.de/ DSMZ] German Collection of Microorganisms | ||
+ | |||
+ | - Human Microbiome Bioactive Molecules (including Metabolites) DB & Analysis Tools | ||
+ | *[https://www.microbiome-bioactives.org/ HMBR] THE HUMAN MICROBIOME BIOACTIVES RESOURCE | ||
+ | *[http://huttenhower.sph.harvard.edu/metawibele MetaWIBELE] A workflow to prioritize potentially bioactive gene products in microbial communities | ||
+ | *[http://huttenhower.sph.harvard.edu/macarron/ MACARRoN] A tool for systematic analysis of microbiome-associated metabolomes for identification of novel, potentially bioactive small moleculeshttps | ||
+ | |||
+ | - Mouse Diet Resource | ||
+ | *[https://researchdiets.com/ Research Diet] | ||
== Proteome Resources == | == Proteome Resources == | ||
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*[http://www.exocarta.org/ Exocarta] A DB for Exosome | *[http://www.exocarta.org/ Exocarta] A DB for Exosome | ||
*[http://evpedia.info EVpedia] A DB for Extracellular Vesicles with many analysis software | *[http://evpedia.info EVpedia] A DB for Extracellular Vesicles with many analysis software | ||
+ | |||
+ | == AI, Software == | ||
+ | - AI for Biomedicine | ||
+ | *[https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw StatQuest] Excellent tutorial movies for learning machine learning and more (by Josh Starmer at UNC) | ||
+ | *[http://scikit-learn.org/ Scikit learn] Open software for Machine Learning | ||
+ | *[https://www.coursera.org/course/ml?from_restricted_preview=1&course_id=971489&r=https%3A%2F%2Fclass.coursera.org%2Fml-004 Machine Learning by Andrew Ng] | ||
+ | *[http://www-bcf.usc.edu/~gareth/ISL/ An Introduction To Statistical Learning] Free textbook and lecture notes | ||
+ | *[https://github.com/Jianing-Qiu/Awesome-Healthcare-Foundation-Models Foundation Models in Biomedicine] | ||
+ | |||
+ | - Cool software | ||
+ | *[https://cmdcolin.github.io/awesome-genome-visualization/?latest=true Awesome genome visualization] Genome visualization software depository | ||
+ | *[http://revigo.irb.hr/ REVIGO] Visualize GO enrichment summary | ||
+ | *[https://gehlenborglab.shinyapps.io/upsetr/ UpSetR Shiny App] Visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries; R package is also available from [https://github.com/hms-dbmi/UpSetR github] | ||
+ | *[http://bioinfogp.cnb.csic.es/tools/venny/ VENNY] Drawing Venn diagram | ||
== Other Resources == | == Other Resources == | ||
− | - Academic society | + | - 특허 |
+ | *[https://ysis2.yonsei.ac.kr/ 연세대특허관리시스템] | ||
+ | *[https://www.ripis.or.kr/U_Ntis.do?method=m01 과제정보검색] by 정부R&D 특허성과관리시스템 | ||
+ | - Contract Research Organization (CRO) | ||
+ | *[https://www.bioneer.co.kr/20-s-2500.html Standard Protein Synthesis Service] by BIONEER | ||
+ | - IRB (Institutional Review Board, 의학연구윤리심의위원회) | ||
+ | *[https://irb.yonsei.ac.kr/ 연세e-IRB] | ||
+ | *[https://edu.kdca.go.kr/edu/index.html 질병관리청 IRB 교육사이트] | ||
+ | *[https://citiprogram.org CITI-program IRB education] | ||
+ | - Academic society & Research Center | ||
+ | *[http://www.ksbi.or.kr/ KSBI] Korean Society of Bioinformatics | ||
*[http://www.ashg.org/ ASHG] American Society of Human Genetics | *[http://www.ashg.org/ ASHG] American Society of Human Genetics | ||
*[http://www.aacr.org AACR] American Association for Cancer Research | *[http://www.aacr.org AACR] American Association for Cancer Research | ||
− | |||
*[http://www.human-microbiome.org/ IHMC] The International Human Microbiome Consortium | *[http://www.human-microbiome.org/ IHMC] The International Human Microbiome Consortium | ||
− | |||
*[http://www.cancer.or.kr KCA] Korean Cancer Association | *[http://www.cancer.or.kr KCA] Korean Cancer Association | ||
*[http://www.kogo.or.kr KOGO] Korea Genome Organization | *[http://www.kogo.or.kr KOGO] Korea Genome Organization | ||
*[http://www.ksmcb.or.kr/ KSMCB] Korean Society of Molecular and Cellular Biology | *[http://www.ksmcb.or.kr/ KSMCB] Korean Society of Molecular and Cellular Biology | ||
*[http://new.ksbmb.or.kr/ KSBMB] Korean Society of Biochemistry and Molecular Biology | *[http://new.ksbmb.or.kr/ KSBMB] Korean Society of Biochemistry and Molecular Biology | ||
− | *[http://mrc-systemsmed.org/ | + | *[http://www.kormb.or.kr/ KMB] The Korean Society of Microbiology and Biotechnology |
+ | *[http://www.msk.or.kr/msk/ MSK] The Microbiological Society of Korea | ||
+ | *[http://mrc-systemsmed.org/ Yonsei Medical Research Center for Systems Medicine] | ||
− | - | + | - Cancer Immunology Biotech company |
− | *[ | + | *[https://gv20oncotherapy.com/ GV20] AI-based cancer immunotherapy development |
− | *[https:// | + | *[https://fortugabio.com/ FortugaBio] Cancer Immunotherapy |
− | *[http:// | + | *[http://www.eutilex.com/ Eutilex] Cancer Immunotherapy |
− | - | + | - Microbiome Biotech company |
− | *[https:// | + | *[https://microba.com/ MICROBA] Precision microbiome profiling and drug discovery |
− | *[ | + | *[https://microbiotica.com/ Microbiotica] Microbiome-based therapeutics and biomarker discovery |
− | + | *[https://clinical-microbiomics.com/ Clinical Microbiomics] offer expert microbiome analysis for clinical, pre-clinical studies | |
− | *[ | + | |
− | + | ||
*[http://www.enterome.fr/ Enterome] Microbiome analysis for healthcare and drug development | *[http://www.enterome.fr/ Enterome] Microbiome analysis for healthcare and drug development | ||
*[http://www.secondgenome.com/ Second Genome] Microbiome company | *[http://www.secondgenome.com/ Second Genome] Microbiome company | ||
*[http://www.serestherapeutics.com/ Seres Health] Microbiome company | *[http://www.serestherapeutics.com/ Seres Health] Microbiome company | ||
*[http://www.vedantabio.com/ Vedanta Biosciences] Microbiome company | *[http://www.vedantabio.com/ Vedanta Biosciences] Microbiome company | ||
+ | *[https://www.hempharma.bio/ HEM Pharma] | ||
− | - | + | - Precision Medicine Biotech company |
− | *[ | + | *[https://celsiustx.com/ Celsius Terapeutics] Novel targets and biomarker identified through single-cell RNA sequencing analysis |
− | *[ | + | *[http://www.humanlongevity.com/ Human Longevity Inc.] |
− | *[http://www | + | *[http://www.personalis.com/ Pesonalis] Genome-guided Medicine |
− | + | *[http://www.calicolabs.com/ Calico] Aging-related disease research company | |
− | - | + | *[https://bostongene.com/ BostonGene] Tumor Portrait technology for Precision Oncology |
− | *[http://www. | + | |
− | *[ | + | |
- Others | - Others | ||
+ | *[https://dna.macrogen.com/ Macrogen] | ||
*[http://www.tedmed.com/ TEDMED] TEDTALK for Medicine and healthcare problems | *[http://www.tedmed.com/ TEDMED] TEDTALK for Medicine and healthcare problems | ||
*[http://retractionwatch.com/ Retraction watch] | *[http://retractionwatch.com/ Retraction watch] | ||
− | *[ | + | *[https://thevc.kr/] TheVC |
− | + |
Latest revision as of 20:23, 8 July 2024
[edit] Google DataSet Search Engine
[edit] Gene/Genome Annotations
- CCDS The concensus protein coding regions among NCBI, Ensembl, and Sanger (Havana) annotation
- GENCODE The Encyclopedia of Genes
- Metasape Gene annotation and Enrichment analysis resource by NIH
[edit] Variome Resources
- Variation DBs
- ExAC (Exome Aggregation Consortium) Exome variation data from >60k individuals
- 1000 Genome Project Catalog of 60 million variant sites (SNV, CNV, SV), 2535 individuals from 26 populations
- UK10K Sequencing 10,000 people (4,000 healthy, 6,000 disease) in England
- Genomics England Sequencing 100,000 people in England focusing on patients with a rare disease and their families and patients with cancer.
- DiscovEHR Collaboration between the Regeneron Genetics Center (WES) and Geisinger Health System (EHR) provides the vcf by 50,000 MyCode participants
- European Variation Archive Most comprehensive and organized by studies (include Clinical variants)
- NCBI Variation Variation DBs (dbSNP, dbVar, dbGaP, ClinVar)
- iJGVD Integrative Japanese Genome Variation Database
- HGV Database The HGV database is a fully searchable online database of genome variations published in peer-reviewed Data Reports in Human Genome Variation
- Functional significance of variants
- Eigen Assign functional important scores on genetic variants in coding and noncoding regions (human only, unsupervised integration)
- CADD: Combined Annotation Dependent Depletion a tool for scoring the deleteriousness of SNV and indels (human only, supervised integration)
- GWAVA: Genome Wide Annotation of VAriants a tool which aims to predict the functional impact of non-coding genetic variants (human only, supervised integration)
- VEP Variant Effect Predictor by EBI (very easy to install and use)
- Condel Variant effect score by integration of SIFT, Polyphen2, Massessor, MAPP, Logre
- SIFT(Sorting Intolerent from Tolerent substitution)
- SIFT4G SIFT for many genomes
- PolyPhen-2 (Polymorphism Phenotyping v2) for human coding region only
- RegulomeDB Exploring DNA functional elements for noncoding variants (by Stanford, Snyder lab)
- HaplogReg Exploring DNA functional elements for noncoding variants (by MIT, Kellis lab)
[edit] Phenome/Diseasome Resources
- Human Disease DBs
- DisGeNET MetaDB for disease genes and variants (very comprehensive and open license)
- Open Targets Another very comprehensive DB for disease target (mostly protein-coding genes) and related evidence
- denovo-db a compendium of human de novo variants
- DISEASES gene-disease association from text mining (GHR, Uniprot, textmining)
- GHR Genetics Home Reference (by NCBI)
- Disease Ontology Disease ontology files FUNDO DOLite_term-to-genes map
- Human Phenotype Ontology
- OMIM Human disease DB (needs License to distribute)
- OrphaData Open database for rare diseases and orphan drug (by Orphanet)
- GAD Genetic Association Database: archive of human genetic association studies of complex diseases and disorders (includes summary data extracted from published candidate gene and GWAS studies).
- UMLS Unified Medical Language Systems
- ICD International Classification of Disease by WHO
- DGA Disease and Gene Annotation, an integrative set of disease-to-gene, gene-to-gene, disease-to-disease relationships
- GenomeRNAi v12 contains 168 human RNAi, 181 D. melanogaster RNAi screen datasets
- OGEE Online GEne Essentiality database
- Human-Mouse Disease Connection a part of MGI
- QTL depositories
- GTEx Portal eQTL for ~50 different tissue types in humans
- GWAS resources
- COVID-19 Host Genetics InititativeCOVID-19 GWAS regulsts
- GWAS ATLAS Atlas of GWAS Summary Statistics (most comprehensive!)
- GWAS catalog Disease-associated variants; Now providing GWAS summary stat data
- GeneATLAS GWAS for ~780 traits using 452,264 UK Biobank White British individuals
- PheGenI Phenotype-Genotype Integrator: For a query trait, it return GWAS loci collected from all available data resources (very convenient to make a single GWAS data set for each trait)
- LDHUB a centralized database of summary-level GWAS results
- Genome-wide Repository of Associations between SNPs and Phenotypes (GRASP) Better than GWAS catalog, including eQTL,QTLs
- GWASdb includes moderate SNPs (p-value < 10^-3) with manual curation from original papers; manually mapped ~1600 GWAS traits to ~500 HPO terms, ~440 DO terms, ~230 DOLite terms
- DistiLD Diseases and Traits in Linkage Disequilibrium Blocks
- Genotype raw data depositories
- Human Functional Genomics Project Raw data are available from BBMRI-NL data infrastructure
- UK Biobank Genotype and extensive phenotype data for ~500k UK people
- European Genome-phenome Archive(EGA) Raw data of GWAS, WGS, Exome-seq. A great resource for meta-analysis
- dbGaP The database of Genotypes and Phenotypes (GWAS, WGS, Exome-seq...)
- Clinical/Disease variant databases
- CGD Clinical Genomic Database
- HGMD The human gene mutation database (The professional version of DB is commercial. The public version of DB is not downloadable.)
- OMIM Germline mutations for genetic diseases
- Roche Cancer Genome Database (RCGDB) Germline/somatic mutations for cancer collected from diverse resourses (not downloadable)
- IDbase Human Immunodeficiency-causing mutation database
- NCBI ClinVar human variations and their relations to the human health (Not includes unreviewed data from GWAS)
- Others
- COGS nature resources CollaborativeOncological Gene-environment Study (GOGS): Association study using ~211,000SNPs (iCOGS) for breast, ovarian, prostate cancers.
- Personal Genome Project
- DECIPHER Developmental Diseases to Phenotypes database with public patients (very useful for rare disease genetics research)
[edit] Interactome, Pathway/Signature Resources
- Interactome DBs
- iRefIndex provides an index of protein interactions available in a number of primary interaction databases including BIND, BioGRID, CORUM, DIP, HPRD, InnateDB, IntAct, MatrixDB, MINT, MPact, MPIDB, MPPI, Reactome, VirHostnet, and QuickGO.
- STRING Known and predicted PPI
- Human Reference Interactome Project Y2H-based human protein interactions
- Pathway DBs
- Pathguide.org A very comprehensive list of pathway and network databases
- Gene Ontology by Gene Ontology Consortium
- KEGG pathways and many more
- Biocyc includes Metacyc, Ecocyc, Humancyc, Aracyc, Yeastcyc
- Reactome A manually curated and peer-reviewed pathway DB
- Pathway Interaction Database (PID) Human pathways curated by NCI-Nature/imported from BioCarta/Reactome
- CORUM Comprehensive Resource of Mammalian Protein Complexes
- NetPath A database for signaling pathways (cancer/immune signaling pathways)
- SIGNOR 11000 manually-annotated causal relationships between proteins that participate in signal transduction
- UniProt-GOA by EBI (support multi-species annotation)
- UniPathway a fully manually curated resource of metabolic pathways (cross-linked to KEGG, MetaCyc)
- Signature Gene Set DBs
- MsigDB License required for redistribution
- GeneSigDB Manually curated gene sets from Pubmed literature
- ImmnuneSigDB Compendium of immune signatures (now available from MsigDB)
- CancerSEA which provides 14 signature profiles for characterization of cancer cells
- DSigDB Drug signature database for gene set analysis
- L1000CDS2 Return 50 signature genes for each LINCS L1000 data set using Characteristic Direction (CD) method
- CREEDS CRowd Extracted Expression of Differential Signatures: Signature gene sets from GEO selected by crowdsourcing project using CD method
[edit] Regulome Resources
- TF and motif DB
- The Human Transcription Factors 2765 putative TFs and 1639 confident TFs by manual curation
- CIS-BP (Catalog of Inferred Sequence Binding Preferences) >300 species, >250 TF families, >160,000 TFs. CisBP collects data from >25 sources, including other database such as HOCOMOCO JASPAR UNIPROBE TRANSFAC
- Epigenomics Consortium projects
- ENCODE Encyclopedia of DNA Elements project portal
- Road map Epigenomics NIH Roda map Epigenomics project home
- International Human Epigenome Consortium (IHEC) The umbrella organization for international epigenomic efforts
- 4D Nucleome To understand the principles behind the 3D organization of the nucleus in space and time (the 4th dimension)
- Promoter DB
- EPD Eukaryotic Promoter Database; Databases of experimentally validated (by either publication or in-house assay) promoters in various organisms
- Enhancer DB
- Enhancer Atlas Human enhancers based on >=3 independent high-throughput experimental datasets (contains 2,534,123 enhancers for 76 cell lines and 29 tissues)
- dbSUPER contains 82,234 super-enhancers in 102 human and 25 mouse tissue/cell types
- HEDD Human Enhancer Disease Database (~2.8M enhancers from ENCODE, FANTOM5, RoadMap and annotations for disease, target, variant, conservation)
- DiseaseEnhancer manual curation of disease-associated enhancers
- Transcriptional Start Site (TSS) DB
- DBTTS contains 491 million TSS tag sequences for 20 tissues and 7 cell cultures in human and mouse
- Chip-seq/DNase-seq DB
- Cistrome DB the most comprehensive DB for Chip-seq and DNase-seq data
- Enhancer-Promoter Interaction DB
- JEME Computationally inferred EPI networks for 935 human primary cells, tissues, and cell lines
- microRNA list and expression atlas
- miRBase miRNA database by Manchester University
- microRNA.org download miRNA expression atlas for human, mouse, rat
- microRNAome microRNA RNA-seq based atlas for 46 primary cell types and 42 cancer or immortalized cell lines
- microRNA-target links (Gold standard)
- miRWalk2.0 Validated links from 4 databases and text minings, Predicted links from 13 prediction data sets
- miRTarBase Experimental-based microRNA-target links (most popular)
- microRNA-disease
- Human microRNA Disease Database(HMDD) Manually curated microRNA-disease links (most comprehensive)
- PhenomiR DB for dysregulated miRNA in diseases
- dbDEMC DB for dysregulated miRNA in Cancer
- miRGator data for miRNA expression, miRNA-mRNA paired expression profile, miRNA perturbation experiments...
- miRNA Target predictions
- mirDIP >150M human miRNA-target predictions collected from 30 resources with integrative score
- CLIP-seq database
- StarBase DB for CLIP-seq data
- lncRNA Resources
- FANTOM-CAT An atlas of human long non-coding RNAs with accurate 5' ends
- NONCODE Integrative annotation of long noncoding RNAs
- lncRNAdb a reference DB for long noncoding RNAs
- RAIN RNA–protein Association and Interaction Networks Intro to RAIN
- NPInter ncRNA interaction database (ncRNA and other molecules)
- RAID RNA-associated interaction DB (very comprehensive)
- LncRNADisease a DB for lncRNA associated diseases
- ncFANs a web server for functional annotation of ncRNA
- LincSNP a DB of disease-associated SNP in human lncRNA and their TFBS
- POSTAR a DB of RNA binding protein binding sites in human and mouse transcriptome (experimental and computational methods)
[edit] Single Cell Analysis Resources
- Spatial Omics Resources
- Human Cell Atlas
- HCA
- Chan Zukerburg Initiative HCA seed networks
- COVID-19 Cell Atlas Data portal by HCA
- scRNA-seq data analysis resources
- Seurat The package for scRNA-seq data analysis
- Velocyto RNA Velocity analysis with steady-state model
- scVelo Generalized RNA Velocity analysis through dynamic modeling
- scRNA-seq analysis course by Sanger
- CellPhoneDB A repository of curated receptors, ligands and their interactions.
- Awesome single cell
- scRNA-tools DB
- Depositories for scRNA-seq data
- Single Cell Portal scRNA-seq database by Broad Institute
- scRNASeqDB scRNA-seq database by UTHSC
- conquer A repository of consistently processed, analysis-ready single-cell RNA-seq data sets
- Jinglebells A repository of standardized single cell RNA-Seq datasets for analysis and visualization at the single cell level
- SCPortalen human and mouse single-cell centric database
- 10X Genomics Datasets by 10X Genomics
[edit] Chemical Biology and Drug Research Resources
- Prioritizing Drugs for target gene regulation
- Drug Gene Budger based on LINCS, GEO, CMAP data DGB reference
- Drug and Bioactive chemical DBs
- Drug Repurposing Hub a best-in-class drug screening collection of >3,000 clinical drugs and their annotation (structure, MoA, protein targets)
- Drugable.com by National Library of Medicine, ~1 million chemicals, ~7000 structural pockets, ~4 millions of drug-protein interactions by docking model
- PubChem A DB contains drug structure and function by NCBI
- ChEMBL A DB contains drug structure and functions by EBI
- Drugs@FDA A DB for FDA approved drugs
- DailyMed High quality Information about marketed drugs by NCBI
- SuperDrug A DB contains 3D-structures of drugs
- Clinical Trial Information
- ClinicalTrials.gov DB for clinical trials conducted around the world
- Drug Target DBs
- DGIdb An integrated Drug-Gene Interaction DB
- A curated drug-target map by curation of ChEMBL database, DrugCentral database, canSAR knowledge base (Gold Standard drug-target)
- KEGG DRUG contains information about only approved drugs
- STITCH DB for known and predicted chemical-protein interaction
- Drugbank A major DB of drug/target
- Therapeutic Target Database (TTD) A major DB of drug/target
- MATADOR Manually Annotated Targets and Drugs Online Resource
- IUPHAR/BPS Guide to Pharmacology A DB of in-depth information of drug targets and ligands
- PDSP Ki DB data warehouse for published and internally-derived Ki, or affinity of drugs at targets
- Drug signature, Pharmacogenomics, Toxicogenomics DBs
- DSigDB Drug signature database for gene set analysis
- CLUE The expanded CMap including 1.3M L1000 profiles for 27,927 perturbagens (476,251 expressions)
- iLINCS Integrated System to Analyze LINCS and other data
- Connectivity Map (CMap) 7,000 expression profiles representing 1,309 compounds
- The Comparative Toxicogenomics database(CTD) The major DB of chemical-disease links from literature curation
- TG-GATE Toxicogenomics data for >150 chemicals in rats and the primary cultured hepatocytes of rats and humans
- Chemical Effects in Biological Systems(CEBS) an integrated public repository for toxicogenomics data
- PharmGKB The Parmacogenomics Knowledgebase
- SIDER Side Effect Resource
- Drug-Gene Interaction DBs
- MOSAIC Chemical-genetic interactions in Yeast (cover >13000 compounds)
[edit] Cancer Biology Resources
- Cancer Somatic Mutations DBs
- meta-knowledgebase of somatic variants Harmonized integration of Cancer Genome Interpreter, CIVIC, JAX-CKB, MolecularMatch, OncoKB, PMKB
- COSMIC(The Catalog Of Somatic Mutations In Cancer) By Sanger with expert curation
- DoCM A database of functional variants validated in cancer
- CIViC A knowledgebase for expert-crowdsourcing the clinical interpretation of variants in cancer
- Cancer Somatic Mutation Visualization
- Proteinpaint Exploring genomic alteration in pediatric cancer
- Cancer Gene DBs
- CGC(Cancer Gene Census} A catalog of genes with mutations that are causally implicated in cancer (by COSMIC)
- 125 mutation-based drivers see Supple TableS2A (71 TSG and 54 OG by 20/20 rule)
- TSGene Literature-curated 1217 human TSGs (1018 protein-coding and 199 non-coding genes) and 320 protein-coding oncogenes
- CCGD(Candidate Cancer Gene Database)A database of cancer driver genes from transposon-based forward genetic screens in mice
- 77 Cancer Genes by amplification and overexpression see Supple TableS2
- NCG(The Network of Cancer Genes) (~500) CGC + (~1000) Candidate genes from Panel Seq, WES, WGS studies
- Cancer Genomics Research Gateway
- NCI Genomic Data Commons GDC provides the cancer research community with a unified data repository that enables data sharing across cancer genomic studies.
- ICGC data portal raw data from ICGC and TCGA
- TARGET(Therapeutically Applicable Research To Generate Effective Treatments) Childhood Cancer Genome Project by NCI
- PedPanCan(A Pan-Cancer Study of Childhood Cancers) by Multi-Institutes including St. Jude Children's Research Hospital
- NCI Office of Cancer Genomics OCG is dedicated to supporting cancer genomics research by sharing molecular data from its programs to enhance understanding of cancer.
- CTD2 data portal Data Portal of Cancer Target Discovery and Development program which strives to functionally validate discoveries from large-scale genomic initiatives.
- Synapse GENIE The largest public cancer genome data by ACCR (see ACCR GENIE project)
- Cancer Program Resource Gateway by Broad
- Cancer Genomics Data Analysis Cloud Platforms
- UCSC Xena An online exploration tool for public (TCGA, ICGC and more) and private, multi-omic and clinical/phenotype data
- ISB-CGC Cancer Genomics Cloud by ISB
- WebMeV Analysis of large genomic data, particularly for RNASeq and microarray data (TCGA, GEO, or user-uploaded).
- Tumor Microenvironment Analysis tools
- TIMER Web server for a comprehensive TME analysis
- xCell Tumor cellular heterogeneity analysis web server; R package is also available from github
- Cancer Pharmacogenomics
- PharmacoDB Integrative database for cancer pharmacogenomics (CCLE, GDSC, CTRP, and more)
- CTRP The Cancer Therapeutics Response Portal (~550 drugs x ~890 cell lines)
- Genomics of Drug Sensitivity in Cancer (GDSC) (~250 drugs x ~1110 cell lines)
- Cancer Cell line Encyclopedia (CCLE) (~20 drugs x ~1060 cell lines)
- Cancer cell essential genes
- GenomeCRISPR A database for high-throughput CRISPR/Cas9 screening experiments
- Achilles Project shRNA-based screen for 216 cancer cell lines (v2.4.3) and CRISPR-based screen for 33 cancer cell lines (v3.3.8)
- COLT-cancer database shRNA-based essential gene profiles for 70 breast, pancreatic, ovarian cancer cell lines
[edit] Immunogenetics DBs and tools
- Immune Epitope Database The most comprehensive (immunogenic and pathogenic) epitope database
- TANTIGEN Tumor T-cell Antigen database (>1000 peptides by literature curation)
- Cancer Antigenic Peptide Database ~400 peptides by literature curation
[edit] Microbiomics DBs and tools
- Gut microbial biobank by Automated culturomics
- [1] CAMII biobank
- Microbiome Data Analysis Resources
- Microbiome Discovery Awesome Lectures by Dan Knight
- Huttenhower Lab A great resource for analysis tools
- Harvard Chan Microbiome in Public Health Center (HCMPH)
- Microbiome Catalogs and Taxonomy
- GTDB BACTERIAL GENOME TAXONOMY DATABASE
- HRGM Human Reference Gut Microbiome by Yonsei University
- UHGG Unified Human Gastrointestinal Genome by EBI
- GMGC Global Microbial Gene Catalog by EMBL
-Microbiome-Disease(drug, diet) interaction DBs
- Disbiome Microbe-Disease interactions
- MASI Microbe-Drug(Disease, Diet) interactions
- gutMDisorder Microbe-Disease(Diet) interactions
- Metagenomic DB
- MGnify by EBI, UK
- IMG Integrated Microbial Genomes by Joint Genome Institute of DOE, US
- The integrative HMP
- Bacterial Culture Collection
- KCTC Korean Collection for Type Cultures
- ATCC Microbiology collection
- DSMZ German Collection of Microorganisms
- Human Microbiome Bioactive Molecules (including Metabolites) DB & Analysis Tools
- HMBR THE HUMAN MICROBIOME BIOACTIVES RESOURCE
- MetaWIBELE A workflow to prioritize potentially bioactive gene products in microbial communities
- MACARRoN A tool for systematic analysis of microbiome-associated metabolomes for identification of novel, potentially bioactive small moleculeshttps
- Mouse Diet Resource
[edit] Proteome Resources
- Human Proteome Database
- Human Proteome Map 85 samples from 17 adult tissues, 6 primary hematopoietic cells and 7 fetal tissues
- ProteomicsDB >10,000 raw data files from 60 human tissues, 147 cell lines, and 13 body fluids
- The Human Protein Atlas The tissue-based map of human proteome based on Immunohistochemistry (for 32 different tissues and organs)
- Open stand-alone software for mass spectra database search (search engines)
- MSblender A combined search engine
- MS-GFDB: Its successor MS-GF+ is faster and more sensitive for high-resolution MS data.
- X!TANDEM
- Comet: the direct descendant of Crux, which is an academic version of the commercial software SEQUEST
- MyriMatch
- OMSSA Due to budgetary constraints NCBI has discontinued OMSSA. Historical binaries are available from here.
- Protein localization and Secretome DB
- Vesiclepedia A DB for all types of Extracellular Vesicles (includes Exocarta)
- Exocarta A DB for Exosome
- EVpedia A DB for Extracellular Vesicles with many analysis software
[edit] AI, Software
- AI for Biomedicine
- StatQuest Excellent tutorial movies for learning machine learning and more (by Josh Starmer at UNC)
- Scikit learn Open software for Machine Learning
- Machine Learning by Andrew Ng
- An Introduction To Statistical Learning Free textbook and lecture notes
- Foundation Models in Biomedicine
- Cool software
- Awesome genome visualization Genome visualization software depository
- REVIGO Visualize GO enrichment summary
- UpSetR Shiny App Visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries; R package is also available from github
- VENNY Drawing Venn diagram
[edit] Other Resources
- 특허
- 연세대특허관리시스템
- 과제정보검색 by 정부R&D 특허성과관리시스템
- Contract Research Organization (CRO)
- Standard Protein Synthesis Service by BIONEER
- IRB (Institutional Review Board, 의학연구윤리심의위원회)
- Academic society & Research Center
- KSBI Korean Society of Bioinformatics
- ASHG American Society of Human Genetics
- AACR American Association for Cancer Research
- IHMC The International Human Microbiome Consortium
- KCA Korean Cancer Association
- KOGO Korea Genome Organization
- KSMCB Korean Society of Molecular and Cellular Biology
- KSBMB Korean Society of Biochemistry and Molecular Biology
- KMB The Korean Society of Microbiology and Biotechnology
- MSK The Microbiological Society of Korea
- Yonsei Medical Research Center for Systems Medicine
- Cancer Immunology Biotech company
- GV20 AI-based cancer immunotherapy development
- FortugaBio Cancer Immunotherapy
- Eutilex Cancer Immunotherapy
- Microbiome Biotech company
- MICROBA Precision microbiome profiling and drug discovery
- Microbiotica Microbiome-based therapeutics and biomarker discovery
- Clinical Microbiomics offer expert microbiome analysis for clinical, pre-clinical studies
- Enterome Microbiome analysis for healthcare and drug development
- Second Genome Microbiome company
- Seres Health Microbiome company
- Vedanta Biosciences Microbiome company
- HEM Pharma
- Precision Medicine Biotech company
- Celsius Terapeutics Novel targets and biomarker identified through single-cell RNA sequencing analysis
- Human Longevity Inc.
- Pesonalis Genome-guided Medicine
- Calico Aging-related disease research company
- BostonGene Tumor Portrait technology for Precision Oncology
- Others
- Macrogen
- TEDMED TEDTALK for Medicine and healthcare problems
- Retraction watch
- [2] TheVC