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Olivier Sallou edited this page Jan 23, 2017
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1 revision
Application Features
Synchronisation :
Multiple remote protocols (ftp, sftp, http, local copy, ...)
Data transfers integrity check
Release versioning using a incremental approach
Multi threading
Data extraction (gzip, tar, bzip)
Data tree directory normalisation
Pre &Post processing :
Advanced workflow description (D.A.G) using Easy normalized syntax language
Post-process indexation for various bioinformatics software (blast, srs, fastacmd, readseq, etc…)
Easy integration of personal scripts for bank post-processing automation
DRMAA cluster integration
Supervision :
Administration web interface (biomaj-watcher)
Web access to logs
Click / Cron management of updates
CLI status
Repository statistics
Mail alerts for the update cycle supervision
Search in available formats/types/tags/files (indexation)
Why BioMAJ ?
Biological knowledge in a genomic or post-genomic context is mainly based on transitive bioinformatics analysis consisting in an iterative and periodic comparison of data newly produced against corpus of known information.
In large scale projects, this approach needs accurate bioinformatics software, pipelines, interfaces and numerous heterogeneous biological banks, which are distributed around the world. An integration process that consists in mirroring and indexing this data is obviously an essential preliminary step but represents a major challenge and a bottleneck in most bioinformatics projects; BioMAJ addresses this problem by proposing a flexible and robust automated environment.