Mathieu Bolteau (mathieubolteau)

mathieubolteau

Geek Repo

Company:LS2N/Nantes University

Location:Nantes, France

Home Page:mathieubolteau.xyz

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Mathieu Bolteau's repositories

scRNA2BoNI

scRNA2BoNI - A general framwork to infer Boolean networks from scRNAseq data.

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Bolteau_PhD_Thesis_Supplement

Supplement of the Mathieu Bolteau's PhD Thesis Manuscript

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caspo

Reasoning on the response of logical signaling networks with Answer Set Programming

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ContaVect

Complete suite to analyse DNA contaminants of virus/vector preparation from NGS data

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GLOG-Project

Repository for the software engineering project during the second year of the Master of Bioinformatics at the University of Bordeaux.

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iggy

:arrow_upper_right: Influence graph analysis, consistency check, diagnosis, repair and prediction

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LesMinimesEnUnClic_Application

OOP project of the second semester of the M1 Bioinformatics Master at University of Bordeaux

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M1_PDP_Project

Web application of metabolics pathway visualisation, for the Gencovery business (https://gencovery.com/), created during the PDP project during the M1 of the Master of Bioinformatics, in Bordeaux.

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MeneTools

MeneTools are Python3 tools to explore the topology of metabolic networks. It includes Menecheck, Menescope, Menepath and Menecof.

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SSV-Coverage

Coverage graph creator from BAM files (included in the SSV-Conta package)

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notebooks

This repository collects notebooks for the course

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OBI

Homework - Jukes Cantor DNA Evolution Model

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Overfitting_in_ML

Notebook to present overfitting using diabetes dataset.

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personal-website

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

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Projet_IA

Identification d’ensembles de gènes par programmation logique

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Quade

Demultiplexer for PAIRED fastq files based on index sequence and PHRED quality (pure python)

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SeedTaag

SeedTaag is a package for visualizing and performing topological measurements on metabolic networks

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Sekator

Multithreaded quality and adapter trimmer for PAIRED fastq files (Python2.7/Cython/C)

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