HAMAP as SPARQL rules—A portable annotation pipeline for genomes and proteomes. Issue 2 (8th February 2020)

• Record Type: Journal Article
• Authors: Bolleman, Jerven; de Castro, Edouard; Baratin, Delphine; Gehant, Sebastien; Cuche, Beatrice A; Auchincloss, Andrea H; Coudert, Elisabeth; Hulo, Chantal; Masson, Patrick; Pedruzzi, Ivo; Rivoire, Catherine; Xenarios, Ioannis; Redaschi, Nicole; Bridge, Alan
• Is Part Of: GigaScience. Volume 9:Issue 2(2020)
• Publication Date: 2020-02-08
• Subjects: protein -- function -- prediction -- SPARQL; Information storage and retrieval systems -- Research -- Periodicals; Biology -- Research -- Periodicals; Medical sciences -- Research -- Periodicals; Database management -- Periodicals; 570.285
• DOI: 10.1093/gigascience/giaa003
• Languages: English
• ISSNs: 2047-217X

Abstract

Abstract: Background: Genome and proteome annotation pipelines are generally custom built and not easily reusable by other groups. This leads to duplication of effort, increased costs, and suboptimal annotation quality. One way to address these issues is to encourage the adoption of annotation standards and technological solutions that enable the sharing of biological knowledge and tools for genome and proteome annotation. Results: Here we demonstrate one approach to generate portable genome and proteome annotation pipelines that users can run without recourse to custom software. This proof of concept uses our own rule-based annotation pipeline HAMAP, which provides functional annotation for protein sequences to the same depth and quality as UniProtKB/Swiss-Prot, and the World Wide Web Consortium (W3C) standards Resource Description Framework (RDF) and SPARQL (a recursive acronym for the SPARQL Protocol and RDF Query Language). We translate complex HAMAP rules into the W3C standard SPARQL 1.1 syntax, and then apply them to protein sequences in RDF format using freely available SPARQL engines. This approach supports the generation of annotation that is identical to that generated by our own in-house pipeline, using standard, off-the-shelf solutions, and is applicable to any genome or proteome annotation pipeline. Conclusions: HAMAP SPARQL rules are freely available for download from the HAMAP FTP site, ftp://ftp.expasy.org/databases/hamap/sparql/, under the CC-BY-ND 4.0 license. The annotations generated by the rules are under the CC-BY 4.0 license. A tutorial and supplementary code to use HAMAP as SPARQL are available on GitHub at https://github.com/sib-swiss/HAMAP-SPARQL, and general documentation about HAMAP can be found on the HAMAP website at https://hamap.expasy.org .