MicroScope-an integrated resource for community expertise of gene functions and comparative analysis of microbial genomic and metabolic data

Brief Bioinform. 2019 Jul 19;20(4):1071-1084. doi: 10.1093/bib/bbx113.

Abstract

The overwhelming list of new bacterial genomes becoming available on a daily basis makes accurate genome annotation an essential step that ultimately determines the relevance of thousands of genomes stored in public databanks. The MicroScope platform (http://www.genoscope.cns.fr/agc/microscope) is an integrative resource that supports systematic and efficient revision of microbial genome annotation, data management and comparative analysis. Starting from the results of our syntactic, functional and relational annotation pipelines, MicroScope provides an integrated environment for the expert annotation and comparative analysis of prokaryotic genomes. It combines tools and graphical interfaces to analyze genomes and to perform the manual curation of gene function in a comparative genomics and metabolic context. In this article, we describe the free-of-charge MicroScope services for the annotation and analysis of microbial (meta)genomes, transcriptomic and re-sequencing data. Then, the functionalities of the platform are presented in a way providing practical guidance and help to the nonspecialists in bioinformatics. Newly integrated analysis tools (i.e. prediction of virulence and resistance genes in bacterial genomes) and original method recently developed (the pan-genome graph representation) are also described. Integrated environments such as MicroScope clearly contribute, through the user community, to help maintaining accurate resources.

Keywords: comparative genomics; gene function curation; metabolic networks; microbial genome annotation system; transcriptomics; variant detection.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology
  • Computer Graphics
  • Database Management Systems
  • Databases, Chemical
  • Genome, Microbial*
  • Genomics / methods*
  • Genomics / statistics & numerical data
  • Internet
  • Metabolic Networks and Pathways / genetics
  • Microbiological Phenomena
  • Molecular Sequence Annotation / methods*
  • Molecular Sequence Annotation / statistics & numerical data
  • Software*
  • User-Computer Interface