fragment-scale peak calling for cfRNA analysis

Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language

MCL, the Markov Cluster algorithm, also known as Markov Clustering, is a method and program for clustering weighted or simple networks, a.k.a. graphs.

A hybrid pipeline to screen compounds with DrugCLIP and Schrodinger

GTDB-Tk: a toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

The ViennaRNA Package

RNA Structural Covariation Above Phylogenetic Expectation

A useful tool for shuffling biological sequences while preserving the k-let counts

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

hifiasm_meta - de novo metagenome assembler, based on hifiasm, a haplotype-resolved de novo assembler for PacBio Hifi reads.

Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

Remote protein homology detection suite.

公众号“无痛入门音乐科技”开源代码

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

📖《Python Parallel Programming Cookbook》中文版

release version

Fast genome and metagenome distance estimation using MinHash

MMseqs2: ultra fast and sensitive search and clustering suite

D3 JavaScript Network Graphs from R

Prodigal Gene Prediction Software

A python extension for quick access to bigWig and bigBed files

An open-source tracking toolkit for EPM of OFT assay of mice or rats.

The second version of the Kraken taxonomic sequence classification system

👁️ Python library to plot DNA sequence features (e.g. from Genbank files)

Open source code for AlphaFold 2.

Accelerated BLAST compatible local sequence aligner.

GFF/GTF utility providing format conversions, region filtering, FASTA sequence extraction and more

NLTK Source