Deep learning framework for proteomics

An open-source Python package to unify raw MS data accession and storage.

Supplementary material for the paper "Improved batch correction in untargeted MS-based metabolomics" by R. Wehrens, et al. To appear in Metabolomics, 2016.

A new approach for representing biological sequences

Making Protein folding accessible to all via Google Colab!

Open source Java library for computational proteomics

Repo for the Deep Learning Nanodegree Foundations program.

Using deep learning to generate in silico spectral libraries for data-independent acquisition analysis.

DeepLC: Retention time prediction for (modified) peptides using Deep Learning.

Automatically exported from code.google.com/p/epept

'ggplot2' Based Publication Ready Plots

isobar - R library for the Analysis and quantitation of isobarically tagged MSMS proteomics data

Java 8 - Cheat Sheet

An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.

R functions for automation of biomarker discovery based on processing downstream of large LC-MS datasets from any peak picking software

A modest Feature Finder (moFF) to extract MS1 intensities from Thermo raw file

MSDK source code repository

source code for MSREDUCE

MusiteDeep provides a deep-learning method for general and kinase-specific phosphorylation site prediction. It is implemented by deep learning library Keras and Theano backend (the Keras2.0 and Ten…

This repository contains the stand-alone tool for MusiteDeep server