Zobrazeno 1 - 10
of 28
pro vyhledávání: '"William S DeWitt"'
Autor:
Kristian Davidsen, Branden J Olson, William S DeWitt III, Jean Feng, Elias Harkins, Philip Bradley, Frederick A Matsen IV
Publikováno v:
eLife, Vol 8 (2019)
Probabilistic models of adaptive immune repertoire sequence distributions can be used to infer the expansion of immune cells in response to stimulus, differentiate genetic from environmental factors that determine repertoire sharing, and evaluate the
Externí odkaz:
https://doaj.org/article/c830ffb8a0de4a7489ad9c4b44a47423
Autor:
William S DeWitt III, Anajane Smith, Gary Schoch, John A Hansen, Frederick A Matsen IV, Philip Bradley
Publikováno v:
eLife, Vol 7 (2018)
The T cell receptor (TCR) repertoire encodes immune exposure history through the dynamic formation of immunological memory. Statistical analysis of repertoire sequencing data has the potential to decode disease associations from large cohorts with me
Externí odkaz:
https://doaj.org/article/ea01accb19154c68820bffc0cb1efcbb
Autor:
William S DeWitt, Paul Lindau, Thomas M Snyder, Anna M Sherwood, Marissa Vignali, Christopher S Carlson, Philip D Greenberg, Natalie Duerkopp, Ryan O Emerson, Harlan S Robins
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0160853 (2016)
The vast diversity of B-cell receptors (BCR) and secreted antibodies enables the recognition of, and response to, a wide range of epitopes, but this diversity has also limited our understanding of humoral immunity. We present a public database of mor
Externí odkaz:
https://doaj.org/article/1920199887e44a0792c0ea7d7902df16
Autor:
Timothy C. Yu, Zorian T. Thornton, William W. Hannon, William S. DeWitt, Caelan E. Radford, Frederick A. Matsen, Jesse D. Bloom
Publikováno v:
Virus Evolution. 8
A challenge in studying viral immune escape is determining how mutations combine to escape polyclonal antibodies, which can potentially target multiple distinct viral epitopes. Here we introduce a biophysical model of this process that partitions the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c32ad7f20a1fd0013353f0ec3682577
https://doi.org/10.1093/ve/veac110
https://doi.org/10.1093/ve/veac110
Publikováno v:
Molecular Biology and Evolution
Likelihood-based phylogenetic inference posits a probabilistic model of character state change along branches of a phylogenetic tree. These models typically assume statistical independence of sites in the sequence alignment. This is a restrictive ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1108e37a176e04ae63d636a52c4d77d
https://pubmed.ncbi.nlm.nih.gov/34043795
https://pubmed.ncbi.nlm.nih.gov/34043795
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Population histories are encoded by genomic variation among modern individuals. Population genetic inference methods, all theoretically rooted in probabilistic population models, can recover complex demographic histories from genomic var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a17b3d4594596d73e2b27f75ceb9aea4
https://doi.org/10.1073/pnas.2013798118
https://doi.org/10.1073/pnas.2013798118
Publikováno v:
Ann Appl Stat
CRISPR technology has enabled large-scale cell lineage tracing for complex multicellular organisms by mutating synthetic genomic barcodes during organismal development. However, these sophisticated biological tools currently use ad-hoc and outmoded c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::490acff6f6dca64b403cdeb4c4833d8f
https://doi.org/10.1214/20-aoas1400
https://doi.org/10.1214/20-aoas1400
Likelihood-based phylogenetic inference posits a probabilistic model of character state change along branches of a phylogenetic tree. These models typically assume statistical independence of sites in the sequence alignment. This is a restrictive ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e757be7ac82c609b69e3430620eeb14
https://doi.org/10.1101/2020.11.17.387365
https://doi.org/10.1101/2020.11.17.387365
Autor:
William S DeWitt
SummaryCharacterization of germline mutation spectrum variation from population genomics data has shed light on the biological complexity of the mutation process, and its evolution within and between species. This analysis augments available populati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c721082f1183d4c64152fed7a3c6121
https://doi.org/10.1101/2020.07.01.183392
https://doi.org/10.1101/2020.07.01.183392