A comprehensive library for computational molecular biology
- Updated
Oct 30, 2025 - Python
A comprehensive library for computational molecular biology
MSA(Multiple Sequence Alignment) visualization python package for sequence analysis
A Python package for CD-HIT, clustering protein or nucleotide sequences.
iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.
Physicochemical properties, indices and descriptors for amino-acid sequences.
Highly customizable, ambiguity-aware dotplots for visual sequence analyses
Gfapy: a flexible and extensible software library for handling sequence graphs in Python
Tools and software library developed by the ONT Applications group
💠 Find common blocks and differences between DNA sequences
HGTphyloDetect is a versatile toolbox to identify horizontal gene transfer (HGT) events combined with phylogenetic analysis.
🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis
Tool to estimate deltas for sequence sets and answer questions about relative contribution
Explore and analyze biological sequence data
ERMiner: Sequential Pattern Mining algorithm for Sequential Rules generation and Event Prediction
Benchmarking different ways of doing read (taxonomic) classification, with a focus on removal of contamination and MTB classification
Microbial Phenotype Prediction, successor to PICA, implemented with Python 3.7 and scikit-learn
AlphaFold-based Protein Analysis Pipeline
Taxonomic classification of metagenomic contigs
binary function similarity analyzer
Add a description, image, and links to the sequence-analysis topic page so that developers can more easily learn about it.
To associate your repository with the sequence-analysis topic, visit your repo's landing page and select "manage topics."