ESTPiper--a web-based analysis pipeline for expressed sequence tags

Zuojian Tang, Jeong-Hyeon Choi, Chris Hemmerich, Ankita Sarangi, John K Colbourne, Qunfeng Dong

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)
198 Downloads (Pure)

Abstract

EST sequencing projects are increasing in scale and scope as the genome sequencing technologies migrate from core sequencing centers to individual research laboratories. Effectively, generating EST data is no longer a bottleneck for investigators. However, processing large amounts of EST data remains a non-trivial challenge for many. Web-based EST analysis tools are proving to be the most convenient option for biologists when performing their analysis, so these tools must continuously improve on their utility to keep in step with the growing needs of research communities. We have developed a web-based EST analysis pipeline called ESTPiper, which streamlines typical large-scale EST analysis components.
Original languageEnglish
Article number174
JournalBMC Genomics
Volume10
DOIs
Publication statusPublished - 21 Apr 2009

Keywords

  • Computational Biology
  • Database Management Systems
  • Databases, Genetic
  • Expressed Sequence Tags
  • Genomics
  • Information Storage and Retrieval
  • Internet
  • Sequence Alignment
  • Software

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