Stars
A framework for stock data fetching, persistence and analysing
Deconvolving tumor purity and ploidy by integrating copy number alterations and loss of heterozygosity
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Roadmap of DL and ML, some courses, study notes and paper summary
Data and code for generating proteomaps
pymzML - an interface between Python and mzML Mass spectrometry Files
LC-MS data processing tool for large-scale metabolomics experiments.
🗂️ [vdjdb.com is up and running!] Git-based TCR database storage & management. Submissions welcome!
A repository for setting up a RNAseq workflow
Create Bloom filters for a given reference and then use it to categorize sequences
Kart: A divide-and-conquer algorithm for NGS read mapping with high error tolerance
A versatile pairwise aligner for genomic and spliced nucleotide sequences
De novo assembly based variant calling pipeline for Illumina short reads
This repository holds the companion project to Goby3, used to train and evaluate deep learning models to call variations. This repository contains the Matcha framework to help train and evaluate de…
DeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.
Analysis of Cancer Genomes; 2017 edition
Calculates the Variant Allele Fraction of variants in VCF files
Variant Calling in Cancer Genomes
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
A comprehensive pipeline to analyze and visualize structural variants
Technical experimentations to beat the stock market using deep learning 📈
An opinionated list of awesome Python frameworks, libraries, software and resources.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A curated list of awesome deep learning applications in the field of computational biology
TADbit is a complete Python library to deal with all steps to analyze, model and explore 3C-based data. With TADbit the user can map FASTQ files to obtain raw interaction binned matrices (Hi-C like…