The GitHub repository for genomic data science is a collection of resources, tools, and code snippets for analyzing and interpreting genomic data.

This repository contains the answers for coursera 's "Statistics for Genomic Data Science"

multiPGS_py is a fast, simple and low-memory python method to calculate polygenic scores (PGS/PRS)

📉 Disk Storage of Compressed k-mer Dictionaries, with or without Random Access in Main Memory.

Drosophila melanogaster IndSeq and PoolSeq genomics data in Asia and Europe

FauxFlow - Analyze Single Cell Genomics Data in a Flow Cytometry Paradigm

Applying R and Bioconductor to assess DNA Methylation

Python tool built for a user-friendly interface for searching individual variants, batch queries, and exploring gene regions from the Ensembl database.

An open-source project to create a centralized hub for live streaming content.

R script employed in the manuscript 'Genomic signatures of clonality in the deep water kelp Laminaria rodriguezii' to compute the distribution of FIS across loci into discrete classes

The bioinformatic analysis pipelines and scripts used for de novo genome assembly and analysis of filarial parasites Mansonella perstans and Mansonella ozzardi

simON-reads ("Simulate Oxford Nanopore Reads") is a simple yet powerful tool to generate fastq files containing MiniON-like long reads

A repository with easy-to-follow instructions on how to prepare you study data files for upload into cBioportal

A comprehensive workflow for de novo assembly of whole-genome shotgun sequencing data using Velvet, followed by BLAST searches to analyze assembled contigs.

A bash script for downloading sequence datasets from PlasmoDb, a Plasmodium informatics resource

Sup. Table 1 from Rodríguez-Gijón and Nuy et al., 2022 (Front. in Microbiology)

This repository streamlines the conversion of raw DNA sequencing data from FASTQ to BAM format, incorporating scripts that not only facilitate BAM conversion but also generate Sequence Alignment Map (SAM) files.

Manifestation of the Lottery Ticket Phenomena in supervised, reinforcement and unsupervised learning.

Welcome to Prometheus, the revolutionary AI model that allows you to generate DNA sequences for any creature you can imagine. Whether it’s a pink panda, an elephant-sized turtle, or a completely new lifeform from your wildest dreams, Prometheus decodes the mystery of biology and synthesizes genetic blueprints with precision.

An analysis of SARS-CoV-2 genomic sequencing scenario in Brazil