title: BISQUE: locus- and variant-specific conversion of genomic, transcriptomic and proteomic database identifiers.
abstract: 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.
  
  
  
  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).
  
  
  
  haiyuan.yu@cornell.edu
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Biological Statistics and Computational Biology, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA and Tri-Institutional Training Program in Computational Biology and Medicine, New York, NY 10065, USA.
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Meyer
authors.affiliation: Department of Biological Statistics and Computational Biology, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA and.
authors.forename: Philip
authors.initials: P
authors.lastname: Geske
authors.affiliation: Department of Biological Statistics and Computational Biology, Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA and.
authors.forename: Haiyuan
authors.initials: H
authors.lastname: Yu
mesh_terms: D016208:Databases, Factual; D016678:Genome; D023281:Genomics; D006801:Humans; D040901:Proteomics; D012984:Software; D059467:Transcriptome; D064878:Web Browser