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Project Summary

R'MES is a set of command-line tools to assess the exceptionality of words or families of words in biological sequences.
Using different mathematical models it gives a statistical measure of how much occurrences of words in sequences deviate from their expected values, an can thus single out words having a potential biological interest. It has already been used to prove on a statistical basis that a specific motif (called CHI) is over-represented in certain kind of bacteria. R'MES is an initiative of the Applied Mathematics and Computing division of the french Agronomical Research Institute (INRA).

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bioinformatics bio-informatics c++ mathematics research statistics

In a Nutshell, R'MES...

GNU General Public License v2.0 or later
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These details are provided for information only. No information here is legal advice and should not be used as such.

This Project has No vulnerabilities Reported Against it

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Languages

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C++
64%
C
35%
6 Other
1%

30 Day Summary

Jun 13 2019 — Jul 13 2019

12 Month Summary

Jul 13 2018 — Jul 13 2019

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