Difference between revisions of "Journal Club"
From Bioinformatics Lab
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+ | {|class=wikitable style="text-align:center;" | ||
+ | |+style="text-align:left;font-size:12pt" | 2024-2 Microbiome | ||
+ | |- | ||
+ | !scope="col" style="padding:.4em" | Date | ||
+ | !scope="col" style="padding:.4em" | Team | ||
+ | !scope="col" style="padding:.4em" | Paper<br/>index | ||
+ | !scope="col" style="padding:.4em" | Presenter | ||
+ | !scope="col" style="padding:.4em" | Paper title | ||
+ | |- | ||
+ | |style="padding:.4em;" rowspan=1|2024/11/6 | ||
+ | |style="padding:.4em;" rowspan=1|Microbiome | ||
+ | |style="padding:.4em;"|24-60 | ||
+ | |style="padding:.4em;"|NY Kim | ||
+ | |style="padding:.4em;text-align:left"| | ||
+ | [https://doi.org/10.1101/2024.07.11.603044 Protein Set 1 Transformer: A protein-based genome language | ||
+ | model to power high diversity viromics] | ||
+ | |- | ||
+ | |style="padding:.4em;" rowspan=1|2024/10/30 | ||
+ | |style="padding:.4em;" rowspan=1|Microbiome | ||
+ | |style="padding:.4em;"|24-59 | ||
+ | |style="padding:.4em;"|YR Kim | ||
+ | |style="padding:.4em;text-align:left"| | ||
+ | [https://doi.org/10.1101/2024.07.11.603044 Prophage-DB: A comprehensive database to explore diversity,distribution, and ecology of prophages] | ||
+ | |- | ||
+ | |style="padding:.4em;" rowspan=1|2024/10/30 | ||
+ | |style="padding:.4em;" rowspan=1|Microbiome | ||
+ | |style="padding:.4em;"|24-58 | ||
+ | |style="padding:.4em;"|JY Kim | ||
+ | |style="padding:.4em;text-align:left"| | ||
+ | [https://doi.org/10.1186/s40168-024-01904-y Strain‑resolved de‑novo metagenomic | ||
+ | assembly of viral genomes and microbial 16S rRNAs] | ||
+ | |- | ||
+ | |style="padding:.4em;" rowspan=1|2024/10/23 | ||
+ | |style="padding:.4em;" rowspan=1|Microbiome | ||
+ | |style="padding:.4em;"|24-57 | ||
+ | |style="padding:.4em;"|WJ Kim | ||
+ | |style="padding:.4em;text-align:left"| | ||
+ | [https://doi.org/10.1186/s40168-024-01876-z Prokaryotic‑virus‑encoded auxiliary | ||
+ | metabolic genes throughout the global oceans] | ||
+ | |- | ||
+ | |style="padding:.4em;" rowspan=1|2024/10/23 | ||
+ | |style="padding:.4em;" rowspan=1|Microbiome | ||
+ | |style="padding:.4em;"|24-56 | ||
+ | |style="padding:.4em;"|G Koh | ||
+ | |style="padding:.4em;text-align:left"| | ||
+ | [https://doi.org/10.1016/j.cell.2024.07.039 Unexplored microbial diversity from 2,500 food | ||
+ | metagenomes and links with the human microbiome] | ||
+ | |- | ||
+ | |style="padding:.4em;" rowspan=1|2024/10/16 | ||
+ | |style="padding:.4em;" rowspan=1|Microbiome | ||
+ | |style="padding:.4em;"|24-55 | ||
+ | |style="padding:.4em;"|SH Ahn | ||
+ | |style="padding:.4em;text-align:left"| | ||
+ | [https://doi.org/10.1101/2024.04.17.589959 Pangenomes of Human Gut Microbiota Uncover Links Between Genetic Diversity and Stress Response] | ||
+ | |- | ||
+ | |style="padding:.4em;" rowspan=1|2024/10/16 | ||
+ | |style="padding:.4em;" rowspan=1|Microbiome | ||
+ | |style="padding:.4em;"|24-54 | ||
+ | |style="padding:.4em;"|HJ Kim | ||
+ | |style="padding:.4em;text-align:left"| | ||
+ | [https://doi.org/10.1101/2024.05.28.596318 vClassifier: a toolkit for species-level classification of prokaryotic viruses] | ||
+ | |- | ||
+ | |style="padding:.4em;" rowspan=1|2024/10/16 | ||
+ | |style="padding:.4em;" rowspan=1|Microbiome | ||
+ | |style="padding:.4em;"|24-53 | ||
+ | |style="padding:.4em;"|HJ Kim | ||
+ | |style="padding:.4em;text-align:left"| | ||
+ | [https://doi.org/10.1101/2024.07.26.605250 GRAViTy-V2: a grounded viral taxonomy application] | ||
+ | |- | ||
+ | |style="padding:.4em;" rowspan=1|2024/10/09 | ||
+ | |style="padding:.4em;" rowspan=1|Microbiome | ||
+ | |style="padding:.4em;"|24-52 | ||
+ | |style="padding:.4em;"|JY Ma | ||
+ | |style="padding:.4em;text-align:left"| | ||
+ | [https://doi.org/10.1038/s41467-024-52533-w Accurately predicting enzyme functions | ||
+ | through geometric graph learning on ESMFold-predicted structures] | ||
+ | |- | ||
+ | |style="padding:.4em;" rowspan=1|2024/10/09 | ||
+ | |style="padding:.4em;" rowspan=1|Microbiome | ||
+ | |style="padding:.4em;"|24-51 | ||
+ | |style="padding:.4em;"|JH Cha | ||
+ | |style="padding:.4em;text-align:left"| | ||
+ | [https://doi.org/10.1101/2024.06.27.600934 Improved detection of microbiome-disease associations via | ||
+ | population structure-aware generalized linear mixed effects models (microSLAM)] | ||
+ | |- | ||
{|class=wikitable style="text-align:center;" | {|class=wikitable style="text-align:center;" | ||
|+style="text-align:left;font-size:12pt" | 2024-1 scOmics | |+style="text-align:left;font-size:12pt" | 2024-1 scOmics |