R'MES


R'MES is a tool to find motifs with a significantly unexpected frequency in biological sequences

The main question R'MES addresses is "does this motif occur in that biological sequence with an expected frequency?" In other words, can we observe it so many times, or so few times, just by chance? Usually, when the answ er is no, such a motif is a candidate to have a particular biological meaning; only a candidate: statistical significance is not equivalent to biological significance.


Informations générales
Partenaire externe
Mark Hoebeke (CNRS)
Suivi
Non-maintenu
Informations spécifiques
Langage(s) de développement
C++
Langage(s) d'interface
C++
N° de version courante
V3.1.0
Date de la version courante
OS supporté
Type de licence


Porteur(s)
Unité
MaIAGE
Equipe
StatInfOmics
Auteur(s)
Schbath Sophie
Contact
sophie.schbath@inra.fr


Informations complémentaires

Langages C et C++

 

 

Système d'information scientifique MIA classé par unité (UR, UMR)

Logo BIOSP     Logo MISTEA     Logo MIA Toulouse     Logo MaIAGE     Logo MIA Paris