Difference between revisions of "Journal Club"
From Bioinformatics Lab
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− | [ | + | [http://biorxiv.org/content/early/2017/02/21/110668 Reversed graph embedding resolves complex single-cell developmental trajectories.] |
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− | [https://www.ncbi.nlm.nih.gov/pubmed/?term=10. | + | [https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038%2Fnmeth.4150 Single-cell mRNA quantification and differential analysis with Census.] |
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|style="padding:.4em;" rowspan=2|2017/03/29 | |style="padding:.4em;" rowspan=2|2017/03/29 | ||
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− | [https://www.ncbi.nlm.nih.gov/pubmed/?term=10. | + | [https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1016%2Fj.celrep.2016.12.060 Single-Cell Transcriptomic Analysis Defines Heterogeneity and Transcriptional Dynamics in the Adult Neural Stem Cell Lineage.] |
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− | [https://www.ncbi.nlm.nih.gov/pubmed/ | + | [https://www.ncbi.nlm.nih.gov/pubmed/26051941 Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis.] |
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|style="padding:.4em;" rowspan=2|2017/03/22 | |style="padding:.4em;" rowspan=2|2017/03/22 | ||
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− | [https://www.ncbi.nlm.nih.gov/pubmed/ | + | [https://www.ncbi.nlm.nih.gov/pubmed/27580035 Single-cell analysis of mixed-lineage states leading to a binary cell fate choice.] |
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− | [https://www.ncbi.nlm.nih.gov/pubmed/ | + | [https://www.ncbi.nlm.nih.gov/pubmed/27281220 Dissecting direct reprogramming from fibroblast to neuron using single-cell RNA-seq.] |
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− | [https://www.ncbi.nlm.nih.gov/pubmed/ | + | [https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1126%2Fscience.aad0501 Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.] |
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− | [https://www.ncbi.nlm.nih.gov/pubmed/ | + | [https://www.ncbi.nlm.nih.gov/pubmed/26084335 Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells.] |
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|style="padding:.4em;" rowspan=2|2017/02/28 | |style="padding:.4em;" rowspan=2|2017/02/28 |
Revision as of 17:29, 9 March 2017
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