oscar-gr

Óscar's repositories

biopython

Official git repository for Biopython (originally converted from CVS)

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biopython-notebook

Notebooks to introduce biopython

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croc

Easily and securely send things from one computer to another :crocodile: :package:

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deepschool.io

Deep Learning tutorials in jupyter notebooks.

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getTV3Videos

Descarrega vídeos de TV3 (tv3.cat) // Download videos of TV3 channel (tv3.cat)

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Apache-2.0000

jupyter

Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks

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jupytext

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

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lazygit

simple terminal UI for git commands

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learn-python3

Jupyter notebooks for teaching/learning Python 3

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mzML

Repository for mzML and the corresponding examples

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mzSpecLib

mzSpecLib: A standard format to exchange/distribute spectral libraries

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mzTab

mzTab Reporting MS-based Proteomics and Metabolomics Results

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papermill

📚 Parameterize, execute, and analyze notebooks

BSD-3-Clause000

pelican-jupyter

Pelican plugin for blogging with Jupyter/IPython Notebooks

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peptide-shaker

Interpretation of proteomics identification results

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percolator

Semi-supervised learning for peptide identification from shotgun proteomics datasets

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ProForma

This is the PSI repository for the ProForma proteoform/peptidoform notation specification (from version 2.0)

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proteomics-metadata-standard

The Sample to Data file format for Proteomics

GPL-2.0000

pyp

Easily run Python at the shell! Magical, but never mysterious.

MIT000

pypdb

A Python API for the RCSB Protein Data Bank (PDB)

MIT000

pyqms

pyQms, generalized, fast and accurate mass spectrometry data quantification

MIT000

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.

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