Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jeremy Bigness"'
Publikováno v:
J Comput Biol
Long-range regulatory interactions among genomic regions are critical for controlling gene expression, and their disruption has been associated with a host of diseases. However, when modeling the effects of regulatory factors, most deep learning mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::040c68a6c30d8933760053c9bf94892b
https://doi.org/10.1089/cmb.2021.0316
https://doi.org/10.1089/cmb.2021.0316
Autor:
Ghada Ghazal, Stephen Notley, Jean-Bernard Fiche, Sylvain Tollis, Savanna Dorsey, Labe Black, Jing Cheng, Guo Fu, Benjamin Crevier, Jeremy Bigness, Catherine A. Royer, Marcelo Nollmann, Mike Tyers
Publikováno v:
The Journal of Cell Biology
Super-resolution imaging shows that G1/S transcription factors in budding yeast are spatially organized in small clusters that increase in number, not molecular content, as the transcription factor copy number increases with cell growth in G1. This s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50b0d3cc32cd5aafa526921d050863cb
http://europepmc.org/articles/PMC7480102
http://europepmc.org/articles/PMC7480102
Autor:
Labe Black, Sylvain Tollis, Guo Fu, Jean-Bernard Fiche, Savanna Dorsey, Jing Cheng, Ghada Ghazal, Stephen Notley, Benjamin Crevier, Jeremy Bigness, Marcelo Nollmann, Mike Tyers, Catherine A. Royer
The spatio-temporal organization of transcription factor (TF)-promoter interactions is critical for the coordination of transcriptional programs. In budding yeast, the main G1/S transcription factors, SBF and MBF, are limiting with respect to target
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95bc1506bd8ea97e9267387dd2bb0832
https://doi.org/10.1101/574772
https://doi.org/10.1101/574772
Publikováno v:
Bioinformatics; 2024 Supplement, Vol. 40, pii146-ii154, 9p
Publikováno v:
Journal of Computational Biology; May2022, Vol. 29 Issue 5, p409-424, 16p
Autor:
Itsik Pe'er
This book constitutes the proceedings of the 26th Annual Conference on Research in Computational Molecular Biology, RECOMB 2022, held in San Diego, CA, USA in May 2022. The 17 regular and 23 short papers presented were carefully reviewed and selected