levitsky Goto Github PK
Name: Lev Levitsky
Type: User
Location: Moscow, Russia
Name: Lev Levitsky
Type: User
Location: Moscow, Russia
AA_stat tool is for searching uncovering the unexpected modifications of amino acid residues in the protein sequences, as well as possible artifacts of data acquisition or processing, in the results of proteome analyses.
libBioLCCC is an open source C++ library for prediction of peptide and protein retention times in liquid chromatography. It is based on BioLCCC (Liquid Chromatography of Biomacromolecules at Critical Conditions) model of liquid chromatography of peptides and proteins. pyteomics.biolccc is a Python library based on libBioLCCC The project documentation is hosted at http://packages.python.org/pyteomics.biolccc, pyteomics.biolccc can be downloaded at http://pypi.python.org/pypi/pyteomics.biolccc
Archive of repository data from BitBucket
A tool for exporting all project data from a BitBucket mercurial repository
Archive of repository data from BitBucket
Project improves quantitative analysis by applying multiple feature detection tools and pick the best from their results.
Numpy main repository
The Proteomics Experimental Design file format: Standard for experimental design annotation
Pyteomics is a collection of lightweight and handy tools for Python that help to handle various sorts of proteomics data. Pyteomics provides a growing set of modules to facilitate the most common tasks in proteomics data analysis.
Simple but handy CLI tools for everyday data analysis tasks
Cython Implementations of Common Pyteomics Functions
GitHub Action to build Python manylinux wheels
A repository to convert SDRF proteomics files into pipelines config files
Analysis of different consensus spectrum construction methods
Source code for theorchromo.ru, a Web tool for retention time prediction based on pyteomics.biolccc
The vimrc file I use on all machines.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.