Motivation: Reformatting and filtering bioinformatics files are common tasks for bioinformaticians. Standard Linux tools and specific programs are usually used to perform such tasks but there is still a gap between using these tools and the programming interface of some existing libraries. Results: In this study, we developed a set of tools namely bioalcidae, samjs and vcffilterjs that reformat or filter files using a JavaScript engine or a pure java expression and taking advantage of the java API for high-throughput sequencing data (htsjdk). Availability and implementation: https://github.com/lindenb/jvarkit. Contact: [email protected].

SUMMARY: We describe mod_bio, a set of modules for the Apache HTTP server that allows the users to access and query fastq, tabix, fasta and bam files through a Web browser. Those data are made available in plain text, HTML, XML, JSON and JSON-P. A javascript-based genome browser using the JSON-P communication technique is provided as an example of cross-domain Web service. AVAILABILITY AND IMPLEMENTATION: https://github.com/lindenb/mod_bio.

SUMMARY: Analysing large amounts of data generated by next-generation sequencing (NGS) technologies is difficult for researchers or clinicians without computational skills. They are often compelled to delegate this task to computer biologists working with command line utilities. The availability of easy-to-use tools will become essential with the generalization of NGS in research and diagnosis. It will enable investigators to handle much more of the analysis. Here, we describe Knime4Bio, a set of custom nodes for the KNIME (The Konstanz Information Miner) interactive graphical workbench, for the interpretation of large biological datasets. We demonstrate that this tool can be utilized to quickly retrieve previously published scientific findings.

International audience

MOTIVATION: The CloneIt program searches for sub-cloning strategies, in-frame deletions and frameshifts within a plasmid sequence. AVAILABILITY: The program, written in ANSI-C language, is available at http://locus.jouy.inra.fr/soft/cloneit/clonei t.html CONTACT: [email protected]