Bo (wenbostar)

wenbostar

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Bo's repositories

PDV

PDV: an integrative proteomics data viewer

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metaX

metaX: a flexible and comprehensive software for processing omics data.

Customprodbj

Customized protein database construction

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PGA

PGA: a tool for ProteoGenomics Analysis

proteoQC

proteoQC: an R package for proteomics data quality assessment.

IQuant

IQuant: An automated pipeline for quantitative proteomics based upon isobaric tags

alphapeptdeep

Deep learning framework for proteomics

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alpharaw

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

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ColabFold

Making Protein folding accessible to all via Google Colab!

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compomics-utilities

Open source Java library for computational proteomics

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DeepDIA

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

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DeepLC

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

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ggpubr

'ggplot2' Based Publication Ready Plots

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isobar

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

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kBET

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

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moFF

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

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MusiteDeep

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 Tensorflow backend were also provided under folder MusiteDeep_Keras2.0). At present, MusiteDeep only provides prediction of human phosphorylation sites; however, it also provides customized model training that enables users to train other PTM prediction models by using their own training data sets based on either CPU or GPU.

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MusiteDeep_web

This repository contains the stand-alone tool for MusiteDeep server

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pDeep

pDeep: Predicting MS/MS Spectra of Peptides with Deep Learning

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PredFull

Predicting Complete Tandem Mass Spectra

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prosit

Prosit offers high quality MS2 predicted spectra for any organism and protease as well as iRT prediction. When using Prosit is helpful for your research, please cite "Gessulat, Schmidt et al. 2019" DOI 10.1038/s41592-019-0426-7

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wenbostar

Config files for my GitHub profile.

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