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

被引:0
|
作者
Zhu, Qian [1 ,2 ]
Wong, Aaron K. [1 ,2 ]
Krishnan, Arjun [2 ]
Aure, Miriam R. [3 ]
Tadych, Alicja [2 ]
Zhang, Ran [2 ,4 ]
Corney, David C. [2 ,4 ]
Greene, Casey S. [5 ,6 ]
Bongo, Lars A. [7 ]
Kristensen, Vessela N. [3 ,8 ,9 ]
Charikar, Moses [1 ]
Li, Kai [1 ]
Troyanskaya, Olga G. [1 ,2 ,10 ]
机构
[1] Princeton Univ, Dept Comp Sci, Princeton, NJ 08544 USA
[2] Princeton Univ, Lewis Sigler Inst Integrat Genom, Princeton, NJ 08544 USA
[3] Norwegian Radium Hosp, Oslo Univ Hosp, Inst Canc Res, Dept Genet, Oslo, Norway
[4] Princeton Univ, Dept Mol Biol, Princeton, NJ 08544 USA
[5] Geisel Sch Med Dartmouth, Dept Genet, Hanover, NH USA
[6] Dartmouth Coll, Inst Quantitat Biomed Sci, Hanover, NH 03755 USA
[7] Univ Tromso, Dept Comp Sci, Tromso, Norway
[8] Univ Oslo, Inst Clin Med, Fac Med, Oslo, Norway
[9] Akershus Univ Hosp, Div Med, Dept Clin Mol Biol EpiGen, Akershus, Norway
[10] Simons Fdn, Simons Ctr Data Anal, New York, NY USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
GENE-EXPRESSION; COEXPRESSION NETWORK; HEDGEHOG; PATHWAY; ORGANIZATION; MODULARITY; GENOME;
D O I
10.1038/NMETH.3249
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We present SEESEESEEK (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. SEESEESEEK 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. SEESEESEEK provides multigene query searching with iterative metadata-based search refinement and extensive visualization-based analysis options.
引用
收藏
页码:211 / +
页数:7
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