Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

Comparison of methods for trajectory inference on single-cell data 🥇

A collection of 50+ trajectory inference methods within a common interface 📥📤

Open-source usearch

Cluster single cells and analyze cell clade relationships with colorful visualizations.

Detection of copy number changes in Germline/Trio/Somatic contexts in NGS data

Protein structure alignment and search algorithm

memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping

Natural Language Search and Analysis of High Dimensional Genomic Data

I am sharing my code repository to understand the working and principle of working of various BioInformatics code in Python

Predicting regulatory DNA elements based on epigenomic signatures

L1000 peak deconvolution based on Bayesian analysis

Fast and simple algorithms for computing both LCSk and LCSk+

deMULTIplex2: robust sample demultiplexing for scRNA-seq

Bioinformatics Guide

No description provided.

This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to applications of Deep Learning to biomedicine. Feel free to make a pull request to contribute to this list.

Official code repository for JAX-CNV

Decoding Single-Cell Observations of Perturbed Expression

CONTRAfold-SE - Learning RNA secondary structure (only) from structure probing data

Implementation of entropy of mixing algorithm in python

RNA Backbone Torsion and Pseudotorsion Angle Prediction using Dilated Convolutional Neural Networks

This project aims on making the algorithms covered in the corresponding lecture at LMU Munich easier to understand by providing step-by-step logging and result visualization.

Простые биоинформатические скрипты на Python 3. Удобная и гибкая замена Excel/Calc для решения повседневных рутинных задач вычислительной биологии.

General bioinformatics functions in Python

Here you can find popular algorithms in Bioinformatics, which I wrote for homework in Bioinformatics Institute (bioinf.me)

ACMG Assistant is a student-level, research-oriented variant classification tool developed to explore the practical application of ACMG/AMP 2015 and 2023 guidelines. It combines automated retrieval of annotation data from public APIs with structured interactive evidence collection to support systematic variant interpretation.

Finding Hidden Messages in DNA

implementation of Burrows–Wheeler transform on a Gene Sequence - Bioinformatics Course - Fall 2019

Implementation of three algorithms to solve the motif finding problem.