Section: Software

SeSiMcMc

Participants : Mireille Régnier [ correspondant ] , Vsevolod Makeev [ Associate Team MIGEC ] , Ivan Kulakovsky [ Associate Team MIGEC ] .

This software, freely available at http://favorov.imb.ac.ru/SeSiMCMC/ is designed to extract motifs and assess their relevance. This assessment relies on a pvalue computation, realized by AhoPro (2007). OvGraph [22] improvement over AhoPro should be introduced into SeSiMcMc this year. One will use AhoProMPV for separating the noise and the signal in ChIP data. An extension that takes into account ChipSeq data, ChipMunk is currently being designed.