| Literature DB >> 24234005 |
Luke E Ulrich1, Igor B Zhulin.
Abstract
UNLABELLED: Assembling and/or producing integrated knowledge of sequence features continues to be an onerous and redundant task despite a large number of existing resources. We have developed SeqDepot-a novel database that focuses solely on two primary goals: (i) assimilating known primary sequences with predicted feature data and (ii) providing the most simple and straightforward means to procure and readily use this information. Access to >28.5 million sequences and 300 million features is provided through a well-documented and flexible RESTful interface that supports fetching specific data subsets, bulk queries, visualization and searching by MD5 digests or external database identifiers. We have also developed an HTML5/JavaScript web application exemplifying how to interact with SeqDepot and Perl/Python scripts for use with local processing pipelines. AVAILABILITY: Freely available on the web at http://seqdepot.net/. RESTaccess via http://seqdepot.net/api/v1. Database files and scripts maybe downloaded from http://seqdepot.net/download.Mesh:
Year: 2013 PMID: 24234005 PMCID: PMC3892692 DOI: 10.1093/bioinformatics/btt658
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937