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Mathematical and Computational Biology Research Group's Projects

abc icon abc

R package for Approximate Bayesian Computation

dmprocr icon dmprocr

An R package that performs differential methylation profiles clustering.

gedepir icon gedepir

Gene Expression DEconvolution PIpeline in R

geneticgap icon geneticgap

Repository related to "A quantitative theory for genomic offset statistics"

hdmax2 icon hdmax2

High dimensional mediation analysis with max-squared tests

hdmax2_simulation_scripts icon hdmax2_simulation_scripts

Scripts reproducing results presented in High Dimensional Mediation Analysis: a new method applied to maternal smoking, placental DNA methylation and birth outcomes (Jumentier et al. 2022)

ic-finder icon ic-finder

Segmentations of HiC maps into hierarchical interaction compartments

isd icon isd

Ressources pour les travaux pratiques d'introduction à la science des données

lfmm icon lfmm

Fitting latent factor mixed models

loter icon loter

A software package for local ancestry inference and haplotype phasing

medepir icon medepir

MEthylation DEconvoluation PIpeline in R

naturalgwas icon naturalgwas

R package for the special issue "MER - Natural GWAS"

pcadapt icon pcadapt

Performing highly efficient genome scans for local adaptation with R package pcadapt v4

penda icon penda

PenDA is a rank-based method for personalized differential analysis.

pendadata icon pendadata

A set of data dedicated to the penda R package.

spectralfst icon spectralfst

A package to compute values and matrices of interest described in the paper "A Spectral Theory for Wright’s Inbreeding Coefficients and Related Quantities" François et Gain 2020

ssmpg2017 icon ssmpg2017

Repository for the Data challenge about Software and Statistical Methods for Population Genetics (SSMPG 2017)

ssmpg2022 icon ssmpg2022

Resources for Software and Statistical Methods for Population Genetics (SSMPG 2022)

tess3_encho_sen icon tess3_encho_sen

TESS3 is a fast and efficient program for estimating spatial population structure based on geographically constrained non-negative matrix factorization and population genetics.

tfa icon tfa

Factor analysis of ancient DNA samples

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