A comprehensive library for computational molecular biology

Explore Python projects spanning ML models, bioinformatics tools, tkinter GUIs, and data analysis utilities. These projects showcase Python’s versatility in advancing data insights and solving complex challenges in computational biology and software development.

A Python interface for CD-HIT package.

a Python based pipeline for the purpose of analyzing human genomic data.

a Python module to manipulate MIDS format.

MSA(Multiple Sequence Alignment) visualization python package for sequence analysis

Physicochemical properties, indices and descriptors for amino-acid sequences.

GRAMEP - Genome vaRiation Analysis from the Maximum Entropy Principle

plant resistance gene analyzer for getting the dna and protein 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.

Analysis of FASTA ,Protein,DNA sequence.

Benchmarking different ways of doing read (taxonomic) classification, with a focus on removal of contamination and MTB classification

Repo dedicated to bioinformatics where genomic files are processed for sequence analysis, alignment, and more.

Tool to estimate deltas for sequence sets and answer questions about relative contribution

Synthetically Engineered Wastewater sequence data for Assessing Genomic Entities

Gfapy: a flexible and extensible software library for handling sequence graphs in Python

Prediction of anti-inflammatory peptides by a sequence-based stacking ensemble model named AIPStack

A consensus-based predictor of intrinsically disordered regions in proteins

Written by Emily Curd (eecurd@g.ucla.edu), Jesse Gomer (jessegomer@gmail.com), Gaurav Kandlikar (gkandlikar@ucla.edu), Zack Gold (zjgold@ucla.edu), Max Ogden (max@maxogden.com), Lenore Pipes (lpipes@berkeley.edu)and Baochen Shi (biosbc@gmail.com). Assistance was provided by Rachel Meyer (rsmeyer@ucla.edu).

Sequence similarity searches (e.g. BLAST) made easy