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BISQUE: locus- and variant-specific conversion of genomic, transcriptomic and proteomic database identifiers.


ABSTRACT:

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Biological sequence databases are integral to efforts to characterize and understand biological molecules and share biological data. However, when analyzing these data, scientists are often left holding disparate biological currency-molecular identifiers from different databases. For downstream applications that require converting the identifiers themselves, there are many resources available, but analyzing associated loci and variants can be cumbersome if data is not given in a form amenable to particular analyses. Here we present BISQUE, a web server and customizable command-line tool for converting molecular identifiers and their contained loci and variants between different database conventions. BISQUE uses a graph traversal algorithm to generalize the conversion process for residues in the human genome, genes, transcripts and proteins, allowing for conversion across classes of molecules and in all directions through an intuitive web interface and a URL-based web service.

Availability and implementation

BISQUE is freely available via the web using any major web browser (http://bisque.yulab.org/). Source code is available in a public GitHub repository (https://github.com/hyulab/BISQUE).

Contact

haiyuan.yu@cornell.edu

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Meyer MJ 

PROVIDER: S-EPMC5860404 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Publications

BISQUE: locus- and variant-specific conversion of genomic, transcriptomic and proteomic database identifiers.

Meyer Michael J MJ   Geske Philip P   Yu Haiyuan H  

Bioinformatics (Oxford, England) 20160123 10


<h4>Unlabelled</h4>Biological sequence databases are integral to efforts to characterize and understand biological molecules and share biological data. However, when analyzing these data, scientists are often left holding disparate biological currency-molecular identifiers from different databases. For downstream applications that require converting the identifiers themselves, there are many resources available, but analyzing associated loci and variants can be cumbersome if data is not given in  ...[more]

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