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Targeted exploration and analysis of large cross-platform human transcriptomic compendia.

Authors :
Zhu, Qian
Wong, Aaron K
Krishnan, Arjun
Aure, Miriam R
Tadych, Alicja
Zhang, Ran
Corney, David C
Greene, Casey S
Bongo, Lars A
Kristensen, Vessela N
Charikar, Moses
Li, Kai
Troyanskaya, Olga G
Source :
Nature Methods; Mar2015, Vol. 12 Issue 3, p211-214, 4p, 1 Color Photograph, 1 Graph
Publication Year :
2015

Abstract

We present SEEK (search-based exploration of expression compendia; http://seek.princeton.edu/), a query-based search engine for very large transcriptomic data collections, including thousands of human data sets from many different microarray and high-throughput sequencing platforms. SEEK uses a query-level cross-validation-based algorithm to automatically prioritize data sets relevant to the query and a robust search approach to identify genes, pathways and processes co-regulated with the query. SEEK provides multigene query searching with iterative metadata-based search refinement and extensive visualization-based analysis options. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15487091
Volume :
12
Issue :
3
Database :
Complementary Index
Journal :
Nature Methods
Publication Type :
Academic Journal
Accession number :
101169537
Full Text :
https://doi.org/10.1038/nmeth.3249