MINTIA : Metagenomic INserT BIoinformatic Annotation in Galaxy

Sandrine Laguerre (1) , Sarah Maman (2, 3) , Sabrina Legoueix (4) , Elisabeth Laville (1) , Gabrielle Veronese (1) , Christophe C. Klopp (5, 6, 3)

1 LISBP - Laboratoire d'Ingénierie des Systèmes Biologiques et des Procédés
2 GenPhySE - Génétique Physiologie et Systèmes d'Elevage
3 SIGENAE - Système d'Information des GENomes des Animaux d'Elevage
4 TWB - Toulouse White Biotechnology
5 MIAT INRA - Unité de Mathématiques et Informatique Appliquées de Toulouse
6 Plateforme Bio-Informatique - Génotoul

Functional metagenomics is used to understand who is doing what in microbial ecosystems. DNA sequencing can be prioritized by activity-based screening of libraries obtained by cloning and expressing metagenomic DNA fragments in an heterologous host. When large insert libraries are used, allowing a direct access to the functions encoded by entire metagenomic loci sizing several dozens of kbp, NGS is required to identify the genes that are responsible for the screened function. MINTIA is an easy to use pipeline assembling and annotating metagenomic inserts.

Domaines: Sciences du Vivant [q-bio]

Sandrine Laguerre, Sarah Maman, Sabrina Legoueix, Elisabeth Laville, Gabrielle Veronese, et al.. MINTIA : Metagenomic INserT BIoinformatic Annotation in Galaxy. 16th European Conference on Computational Biology, Jul 2017, Prague, Czech Republic. ⟨hal-01886424⟩