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-book-3-min-pytorch

[book] 펭귄브로의 3분 딥러닝, 파이토치맛

-book-biofx_python

Code for Mastering Python for Bioinformatics (O'Reilly, 2021, ISBN 9781098100889)

-book-deep-learning-with-pytorch-lightning

Getting Started with PyTorch Lightning, Published by Packt

-book-deeplearninglifesciences

Example code from the book "Deep Learning for the Life Sciences"

-book-my-first-python

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

-book-pytorch

파이토치 딥러닝 마스터

-book-pytorch-ml-deep

루비페이퍼 출판사의 '이토록 쉬운 머신러닝&딥러닝 입문 with 사이킷런 + 파이토치' 도서 실습 코드입니다.

-book-transfer-learning

[book] 파이썬을 활용한 딥러닝 전이학습

alphafold

Open source code for AlphaFold.

alphscore

Improving pathogenicity prediction of missense variants by using AlphaFold-derived features

book-tensorflow

deepnet-dann

Implementation of some deep learning algorithms.

dingo

DiNGO: standalone application for Gene Ontology and Human Phenotype Ontology term enrichment analysis

doc-annovar

Documentation for the ANNOVAR software

ensembl-vep

The Ensembl Variant Effect Predictor predicts the functional effects of genomic variants

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

esm-variants

exomiser

A Tool to Annotate and Prioritize Exome Variants

eyevarp

geneffect

A Python library for retrieving functional annotations of genes and analyzing the effects of genetic variants, currently focusing on proteomic data of protein-coding genes.

getsequenceinfo

A Perl script allowing to get sequence information from GenBank, RefSeq or ENA sequence repositories

gnomad_qc

goatools

Python library to handle Gene Ontology (GO) terms

gtex-pipeline

GTEx & TOPMed data production and analysis pipelines

hands-on-data-analysis-with-pandas-2nd-edition

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

maverick

A Mendelian approach to variant effect prediction built in keras

metadome

MetaDome is aimed at professionals in the (bio-)medical field of human genetics who wish to visualize the position of their mutation of interest in the context of general population-based genetic variation and provide detailed information of pathogenic variants found across homologous domain positions.

metarnn

mutscore

mvp-pathogenic-prediction

MVP (Qi et al 2021) source code