Provides a broad survey of protein coding in bacterial small RNAs (sRNAs). DiSCO-Bac combines summary results, individual open reading frame (ORF) characteristics, and tools for sorting and visualizing genomic context. The database was created by a tool that is based on a flexible machine learning method that employs simple sequence features and comparative genomics. It is able to incorporate a wide range of evidence.
Systems Biology Laboratory, Department of Genomes and Genetics, Institut Pasteur, Paris, France; Molecular Microbial Pathogenesis Unit, Department of Cell Biology and Infection, Institut Pasteur, Paris, France; Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, France; Bioinformatics and Biostatistics Hub, C3BI, USR 3756 IP CNRS, Institut Pasteur, Paris, France; Department of Molecular Systems Biology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany; Institute of Biochemistry, University of Leipzig, Leipzig, Germany
DiSCO-Bac funding source(s)
Supported by a Pasteur Foundation Postdoctoral Fellowship and ERC grant ERC-2009-AG-232798-HOMEOPITH; by DFG Priority programme 2002 and by DFG CRC Aquadiva.