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acafinder

An anti-CRISPR associated protein identification tool

biobert

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

cl4phi

deepce

A deep learning framework for high-throughput mechanism-driven phenotype screening

deephage

A tool for distinguish temperate phage-derived and virulent phage-derived sequence in metavirome data using deep learning

desman

De novo Extraction of Strains from MetAgeNomes

genomes-pipeline

MGnify genome analysis pipeline

geo

getgenelength

Extract gene length based on featureCount calculation gene nonredundant exon length method.

ggcor-1

ggcor备用源，版权归houyunhuang所有，本源仅供应急使用

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

hostphinder

image-downloader

Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.

kgqa-based-on-medicine

基于医药知识图谱的智能问答系统

kgtk

Knowledge Graph Toolkit

lovesourcecode

表白网页源码集

machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

mastering-scala-machine-learning

Mastering-Scala-Machine-Learning

mgcst-classifier

When used in concert with the vaginal non-redundant gene database (VIRGO), assigns metagenomic community state types (mgCSTs)

pb-lks

A python package for phage-host interaction prediction

phagecommander

prokka

:zap: :aquarius: Rapid prokaryotic genome annotation

pythonforprogrammers

Files associated with our book Python for Programmers

transppi

vibrant

Virus Identification By iteRative ANnoTation

vidhop

VIDHOP is a virus host predicting tool. Its able to predict influenza A virus, rabies lyssavirus and rotavirus A.

viromeqc

ViromeQC is a computational tool to benchmark and quantify non-viral contamination in VLP-enrihed viromes. ViromeQC provides an enrichment score for each virome. The score is calculated with respect to the expected prokaryotic markers abundances in reference metagenomes