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agape

AGAPE (Automated Genome Analysis PipelinE) for yeast pan-genome analysis

aws_shadowsocks

aws_shadowsocks科学上网

beer_its_analysis

BeerDeCoded first results using ITS

bigbook

Bioinformatics and Genomics

bio_scripts

Practical, reusable scripts for bioinformatics

bioscript

Bioinformatics Scripts

bioscripts

Scripts for bioinformatics data processing and analysis

chatgpt_bioinformatics

Data and code from "Many bioinformatics programming tasks can be automated with ChatGPT"

compbionsf-module

Code for module presented at Carleton College, September 29, 2018

deep-learning-mhci

For MHC-I protein-peptide binding predictions: Deep Learning model with CNN and Snakemake workflow

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep_learning_examples

Examples of using deep learning in Bioinformatics

deeptcr

Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data

deepvirfinder

Identifying viruses from metagenomic data by deep learning

epip

ergo

ERGO is a deep learing based model for predicting TCR-peptide binding.

flask_fullstack

Python全栈开发配套代码

frama

FRAMA: From RNA-seq data to annotated mRNA assemblies

gdkm

Genome Database of Kimchi-associated Microbes (GDKM) is an integrated data management system that produces genomic information of the microorganisms associated with Korean fermented vegetables (kimchi) and makes standardized genome data available to researchers in academia and industry.

hla-bind

Amino acid embedding and Convolutional Neural Network for HLA Class I-peptide binding prediction

hpcleap_dnds

Sliding window dN/dS vs. functional protein domain comparison tool. Given VectorBase gene id inputs it will aggregate various useful Bioinformatics information available, then allow the user to compare selective pressures acting along the protein sequence vs. an overlay of functional protein domain annotations.

itg-webbook

《React工程师修炼指南》相关源码

lasagne4bio

metann

monetizing-machine-learning

Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei

myseq

netminer

A pipeline for high-confidence RNA-seq gene co-expression network inference

nettcr

predicting peptide and TCR interaction