T
Taylor Sittler
Researcher at University of California, San Francisco
Publications - 15
Citations - 2888
Taylor Sittler is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Protein–protein interaction & Protein sequencing. The author has an hindex of 10, co-authored 15 publications receiving 2686 citations. Previous affiliations of Taylor Sittler include University of California, San Diego.
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Journal ArticleDOI
Conserved patterns of protein interaction in multiple species
Roded Sharan,Silpa Suthram,Ryan Kelley,Tanja Kuhn,Scott McCuine,Peter Uetz,Taylor Sittler,Richard M. Karp,Trey Ideker +8 more
TL;DR: This comparison of the recently available protein-protein interaction networks of Caenorhabditis elegans, Drosophila melanogaster, and Saccharomyces cerevisiae revealed 71 network regions that were conserved across all three species and many exclusive to the metazoans.
Journal ArticleDOI
Conserved pathways within bacteria and yeast as revealed by global protein network alignment
Brian P. Kelley,Roded Sharan,Richard M. Karp,Taylor Sittler,David E. Root,Brent R. Stockwell,Trey Ideker +6 more
TL;DR: It is shown that the protein–protein interaction networks of two distantly related species, Saccharomyces cerevisiae and Helicobacter pylori, harbor a large complement of evolutionarily conserved pathways, and that a large number of pathways appears to have duplicated and specialized within yeast.
Journal ArticleDOI
A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples
Samia N. Naccache,Scot Federman,Narayanan Veeraraghavan,Matei Zaharia,Deanna Lee,Erik Samayoa,Jerome Bouquet,Alexander L. Greninger,Ka Cheung Luk,Barryett Enge,Debra A. Wadford,Sharon Messenger,Gillian Genrich,Kristen Pellegrino,Gilda Grard,Eric M. Leroy,Bradley S. Schneider,Joseph N. Fair,Miguel Ángel Martínez,Pavel Isa,John A. Crump,Joseph L. DeRisi,Taylor Sittler,John Hackett,Steve Miller,Charles Y. Chiu +25 more
TL;DR: SURPI is described, a computational pipeline for pathogen identification from complex metagenomic NGS data generated from clinical samples, and use of the pipeline is demonstrated in the analysis of 237 clinical samples comprising more than 1.1 billion sequences.
Posted Content
Faster and More Accurate Sequence Alignment with SNAP
Matei Zaharia,William J. Bolosky,Kristal Curtis,Armando Fox,David A. Patterson,Scott Shenker,Ion Stoica,Richard M. Karp,Taylor Sittler +8 more
TL;DR: The Scalable Nucleotide Alignment Program is presented, a new short and long read aligner that is both more accurate and faster than state-of-the-art tools such as BWA and provides a rich error model that can match classes of mutations that today's fast aligners ignore.
Journal ArticleDOI
A Metagenomic Analysis of Pandemic Influenza A (2009 H1N1) Infection in Patients from North America
Alexander L. Greninger,Eunice C. Chen,Taylor Sittler,Alex Scheinerman,Nareg Roubinian,Guixia Yu,Edward Y. Kim,Dylan R. Pillai,Cyril Guyard,Tony Mazzulli,Pavel Isa,Carlos F. Arias,John Hackett,Gerald Schochetman,Steve Miller,Patrick Tang,Charles Y. Chiu +16 more
TL;DR: Results indicate that a streamlined metagenomics detection strategy can potentially replace the multiple conventional diagnostic tests required to investigate an outbreak of a novel pathogen, and provide a blueprint for comprehensive diagnosis of unexplained acute illnesses or outbreaks in clinical and public health settings.