Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Henry N Ward"'
Autor:
Arshia Zernab Hassan, Henry N Ward, Mahfuzur Rahman, Maximilian Billmann, Yoonkyu Lee, Chad L Myers
Publikováno v:
Molecular Systems Biology, Vol 19, Iss 11, Pp n/a-n/a (2023)
Abstract CRISPR‐Cas9 screens facilitate the discovery of gene functional relationships and phenotype‐specific dependencies. The Cancer Dependency Map (DepMap) is the largest compendium of whole‐genome CRISPR screens aimed at identifying cancer
Externí odkaz:
https://doaj.org/article/becc7c92c97a46618bd84cf4cd986a98
Autor:
Mahfuzur Rahman, Maximilian Billmann, Michael Costanzo, Michael Aregger, Amy H Y Tong, Katherine Chan, Henry N Ward, Kevin R Brown, Brenda J Andrews, Charles Boone, Jason Moffat, Chad L Myers
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 5, Pp n/a-n/a (2021)
Abstract We present FLEX (Functional evaluation of experimental perturbations), a pipeline that leverages several functional annotation resources to establish reference standards for benchmarking human genome‐wide CRISPR screen data and methods for
Externí odkaz:
https://doaj.org/article/b77f0c4de34540ad85f7efa1a9046e4b
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 1, p e1004658 (2016)
The explosion of bioinformatics technologies in the form of next generation sequencing (NGS) has facilitated a massive influx of genomics data in the form of short reads. Short read mapping is therefore a fundamental component of next generation sequ
Externí odkaz:
https://doaj.org/article/d276b358482a4dd39a36a68c353e31e0
Autor:
Maximilian Billmann, Henry N. Ward, Michael Aregger, Michael Costanzo, Brenda J. Andrews, Charles Boone, Jason Moffat, Chad L. Myers
Publikováno v:
Cell Systems. 14:418-422.e2
Autor:
Maximilian Billmann, Henry N. Ward, Michael Aregger, Michael Costanzo, Brenda J. Andrews, Charles Boone, Jason Moffat, Chad L. Myers
CRISPR screens are used extensively to systematically interrogate the phenotype-to-genotype problem. In contrast to early CRISPR screens, which defined core cell fitness genes, most current efforts now aim to identify context-specific phenotypes that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd3e80961ea20458867d45a22780881e
https://doi.org/10.1101/2022.02.19.480892
https://doi.org/10.1101/2022.02.19.480892
Autor:
Charles Boone, Henry N. Ward, Minoru Yoshida, Scott W. Simpkins, Hiroyuki Osada, Justin Nelson, Sheena C. Li, Yoko Yashiroda, Jeff S. Piotrowski, Chad L. Myers, Raamesh Deshpande
Publikováno v:
Nature Protocols. 14:415-440
The construction of genome-wide mutant collections has enabled high-throughput, high-dimensional quantitative characterization of gene and chemical function, particularly via genetic and chemical–genetic interaction experiments. As the throughput o
Autor:
Chad L. Myers, Henry N. Ward, Maximilian Billmann, Ya-Chu Chang, Anja Katrin Bielinsky, Kevin Lin
Publikováno v:
Journal of Clinical and Translational Science. 5:101-102
IMPACT: The key to advancing precision medicine is to deepen our understanding of drug modes-of-action (MOA). This project aims to develop a novel method for predicting MOA of potential drug compounds, providing an experimental and computational plat
Autor:
Michael Aregger, Chad L. Myers, Maximilian Billmann, Kevin R. Brown, Jason Moffat, Ulrich Braunschweig, Thomas Gonatopoulos-Pournatzis, Alexander Weiss, Tanja Durbic, Shaghayegh Farhangmehr, Kevin C.H. Ha, Henry N. Ward, Benjamin J. Blencowe
Publikováno v:
Nature biotechnology. 38(5)
Systematic mapping of genetic interactions (GIs) and interrogation of the functions of sizable genomic segments in mammalian cells represent important goals of biomedical research. To advance these goals, we present a CRISPR (clustered regularly inte
Autor:
Michael Costanzo, Charles Boone, Benjamin VanderSluis, Maximilian Billmann, Henry N. Ward, Chad L. Myers, Brenda J. Andrews
Systematic experimental approaches have led to construction of comprehensive genetic and protein-protein interaction networks for the budding yeast, Saccharomyces cerevisiae. Genetic interactions capture functional relationships between genes using p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e9b4be1929d21d08575a9e65534111
https://europepmc.org/articles/PMC6295359/
https://europepmc.org/articles/PMC6295359/
MaGIC: a machine learning tool set and web application for monoallelic gene inference from chromatin
Autor:
Sébastien Vigneau, S.V. Vinogradova, Sachit D. Saksena, Henry N. Ward, Alexander A. Gimelbrant
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-5 (2019)
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-5 (2019)
SummaryA large fraction of human and mouse autosomal genes are subject to random monoallelic expression (MAE), an epigenetic mechanism characterized by allele-specific gene expression that varies between clonal cell lineages. MAE is highly cell-type
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff1034028828944d6953c81f73ef8a71