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Miguel Cosenza-Contreras photo

miguelcos Goto Github PK

followers: 14.0 following: 17.0 repos: 57.0 gists: 0.0

Name: Miguel Cosenza-Contreras

Type: User

Company: Universitätsklinikum Freiburg

Bio: I am a biologist with interest in proteomics, bioinformatics and data science. My main experience is related to the use of R for proteomics data analyses.

Location: Freiburg, Germany

Miguel Cosenza-Contreras's Projects

1_proteomics_data_analysis icon 1_proteomics_data_analysis

This repo will contain scripts, functions and snippets of code useful for processing and analyzing different types of proteomics data

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

delete_mq_junk icon delete_mq_junk

This repo would contain the script for deleting junk after MaxQuant search

enrichroast icon enrichroast

Repo containing scripts and functionts to run limma::roast enrichment analyses

fragenterminomics icon fragenterminomics

Pipeline for extracting and exploring nterminomics data from FragPipe and TMT-Integrator

gbm_manuscript_data_analysis icon gbm_manuscript_data_analysis

Data processing and analysis of database search and quant proteomics results from GBM patients - Initial vs Recurrent conditions

hello-world icon hello-world

Just to share random stuff about what I'll do with my GitHub account

hpar icon hpar

A simple interface to the Human Protein Atlas

limma_fdr_on_feature_subset icon limma_fdr_on_feature_subset

This repo will contain scripts to execute limma and then apply multiple testing correction on a subset of features (i.e. semi-tryptic peptides; ecoli proteins, etc)

limma_multi_group icon limma_multi_group

Script for executing a general F-test on a protein/gene expression dataset with > 2 groups

limma_two_groups icon limma_two_groups

This repo contains a small script for generating a report after simple paired DE with limma

limma_w_patient-matched_design icon limma_w_patient-matched_design

This repo will contain a guideline document for the execution of a differential expression analysis with limma including a patient random effect in the model

mq_msms_2_percolator_tab icon mq_msms_2_percolator_tab

This repo would contain a script for transforming the `msms.txt` output from MaxQuant into a `.tab` file that can be used as an input for Percolator

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