Several groups are involved in the development of bioinformatic tools for the simulation and the analysis of genome structure, gene expression and proteomics data.
Autoclass@IJM: a Web interface for the Bayesian classification of heterogeneous data in biology
developed by Fiona Achcar, Denis Mestivier and Jean-Michel Camadro, from the Modelling in Integrative Biology and Mitochrondria, Metals and Oxidative Stress teams at the Institut Jacques Monod.
AutoClass@IJM offers a computational resource with a web interface to AutoClass, a powerful unsupervised Bayesian classification system developed by the Ames Research Center at NASA. AutoClass has many powerful features with broad applications in biological sciences: (i) it determines the number of classes automatically, (ii) it allows the user to mix discrete and real valued data, (iii) it handles missing values.
End users upload their data sets through our web interface; computations are then queued in our cluster server. To help with the analysis of the Autoclass outputs, a CDT file that can be read by JavaTreeview-like software is provided.
Furthermore, the Scientific Club BioInfo brings together scientists from the Institut Jacques Monod and from neighboring research institutes who want to develop their bioinformatics skills in analyzing high-troughput sequencing data.
They meet every Friday between 10 and 11am.
Contact: Virginie Orgogozo, +33 (0)1 57 27 80 43, email@example.com.
Find out more and see the schedule...
All the Scientific Clubs at the Institut Jacques Monod...
Dernière modification 23/11/2012