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

  • Qian Zhu
  • , Aaron K. Wong
  • , Arjun Krishnan
  • , Miriam R. Aure
  • , Alicja Tadych
  • , Ran Zhang
  • , David C. Corney
  • , Casey S. Greene
  • , Lars A. Bongo
  • , Vessela N. Kristensen
  • , Moses Charikar
  • , Kai Li
  • , Olga G. Troyanskaya

Research output: Contribution to journalArticlepeer-review

118 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)211-214
Number of pages4
JournalNature Methods
Volume12
Issue number3
DOIs
StatePublished - Feb 26 2015

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology

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