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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...

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Languages

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

30 Day Summary

Jan 19 2018 — Feb 18 2018

12 Month Summary

Feb 18 2017 — Feb 18 2018

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