AlphaFold 3 inference pipeline.

Making Protein folding accessible to all!

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 t…

Repository for the Broad Institute Proteogenomic Data Analysis Center (PGDAC) established by the NIH Clinical Proteomics Tumor Analysis Consortium (CPTAC)

Tumor-only variant calling

ASCAT R package

ClairS-TO - a deep-learning method for tumor-only somatic variant calling

mzmine source code repository

De Novo Mass Spectrometry Peptide Sequencing with a Transformer Model

Copy number calling and variant classification using targeted short read sequencing

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Java tools for analyzing Drop-seq data

Online resources for Python Crash Course, 3rd edition, from No Starch Press.

This is the notes of the way of machine learning study. You may find something useful in it.

Multi-Omics Peptide Generator

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods

Tools for GDC Tumor-only Somatic Variant Calling Workflow

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

TransDecoder source

A small-RNA sequencing analysis pipeline

The state of the art Deep CNN neural network for de novo sequencing of tandem mass spectra

Precision HLA typing from next-generation sequencing data

This is code of book "Learn Deep Learning with PyTorch"

Online resources for Python Crash Course (Second Edition), from No Starch Press