SurfaceGenie: a web-based application for prioritizing cell-type-specific marker candidates
Author(s) -
Matthew Waas,
Shana Terai Snarrenberg,
Jack Littrell,
Rachel A. Jones,
Polly A. Hansen,
John A. Corbett,
Rebekah L. Gundry
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa092
Subject(s) - computer science , type (biology) , web application , world wide web , computational biology , biology , ecology
Cell-type-specific surface proteins can be exploited as valuable markers for a range of applications including immunophenotyping live cells, targeted drug delivery and in vivo imaging. Despite their utility and relevance, the unique combination of molecules present at the cell surface are not yet described for most cell types. A significant challenge in analyzing 'omic' discovery datasets is the selection of candidate markers that are most applicable for downstream applications.
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