|Title||Targeted exploration and analysis of large cross-platform human transcriptomic compendia.|
|Publication Type||Journal Article|
|Year of Publication||2015|
|Authors||Zhu, Q, Wong, AK, Krishnan, A, Aure, MR, Tadych, A, Zhang, R, Corney, DC, Greene, CS, Bongo, LA, Kristensen, VN, Charikar, M, Li, K, Troyanskaya, OG|
|Pagination||211-4, 3 p following 214|
|Date Published||2015 Mar|
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.
|Alternate Journal||Nat. Methods|