Summary:
Genomic variation between individuals is essential for understanding how differences in the genome sequence affect molecular and cellular processes. The Impact of Genomic Variation on Function (IGVF) Consortium aims to uncover the relationships among genomic variation, genome function, and phenotypes by combining experimental techniques, such as single-cell mapping and genomic perturbation assays, with computational approaches such as machine learning-based predictive modeling. The IGVF Data and...
Link:
https://pubmed.ncbi.nlm.nih.gov/41359121/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VsHRGSo3HX0CgC40wRgBdaScQKv8CRE2sO_GaWJzhPEXTSQfX&fc=20220129230418&ff=20260120004032&v=2.18.0.post22+67771e2
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(database[TitleAbstract]) AND (Nucleic acids research[Journal])
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Authors:
Daofeng Li, Shane Liu, Pedro R Assis, Mingjie Li, Shengcheng Dong, Ian Whaling, Otto Jolanki, Meenakshi Kagda, Wenjin Zhang, Juan F Macias-Velasco, Tianjie Liu, Sarah Cody, Lucinda Antonacci-Fulton, Yuanhao Huang, Jie Liu, Michael T Montgomery, Daniel Zeiberg, Shantanu Jain, Vikas Pejaver, Timothy Bergquist, Yile Chen, Predrag Radivojac, Charles A Gersbach, Rintsen N Sherpa, Christopher P Castro, Alan P Boyle, Lea M Starita, Douglas M Fowler, Nadav Ahituv, Kushal K Dey, William H Majoros, Timothy E Reddy, Mark Craven, Riya Sinha, Yuriy Sverchkov, Xiangmeng Cai, Mpathi Z Nzima, Michael A Calderwood, Joel Rozowsky, Mark Gerstein, Jian Ma, Feng Yue, J Michael Cherry, Michael I Love, Jesse M Engreitz, Benjamin C Hitz, Ting Wang
Date tagged:
01/20/2026, 00:42
Date published:
12/08/2025, 06:00