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

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

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

Finding Hidden Messages in DNA

A research-oriented, transparent, and extensible variant interpretation pipeline implementing ACMG/AMP 2015 & 2023 guidelines.

Implementation of three algorithms to solve the motif finding problem.

PyPairs - A python scRNA-Seq classifier

SCGid, a consensus approach to contig filtering and genome prediction from single-cell sequencing libraries

Local, Semi-Global and Global Alignment for Protein Sequences

coding problems from course 6 of the Bioinformatics specialization

Genome Sequencing

CellScope is an unsupervised analysis framework for large-scale subcellular spatial omics data, used to systematically discover, characterize and annotate subcellular domains (subcellular domains/meta-domains) from high-resolution spatial molecular distributions.

Identifying DnaA boxes in the origin of replication of bacterial genomes. (A repository of Python solutions to the code challenges from Unit 1 Bioinformatics Algorithms. )