Data intensive science for everyone.
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Updated
Jun 12, 2024 - Python
Data intensive science for everyone.
A python framework for data mining microbial natural products by integrating genomics and metabolomics data
BSR-Based Allele Calling Algorithm
Computational biology/bioinformatics workflows, codes, and concept notes on NGS data
GCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language
An R-package for daily tasks required to handle biological data as well as avoid re-coding of small functions for quick but necessary data management.
Genomic data manipulation tool
Visual self-service analytics platform for big omics data.
An API, a query engine, and a database schema for genomic sequences; currently with a focus on SARS-CoV-2
An ontology of cell types
R Shiny app for germline genomic variants interpretation. The tool suite to deal with the underlying local structured database is provided here : https://github.com/clbenoit/GermlineVarDBTools
🫧🧬 From fragmented assemblies to high-quality bacteriophage genomes
Website for Mangul Lab.
A pipeline for comprehensive genomic analyses of Mycobacterium tuberculosis with a focus on clinical decision making as well as research
Mycobacterium tuberculosis genomic analysis from Nanopore sequencing data
🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
A public reference implementation of HL7 FHIR Genomics Operations (http:https://build.fhir.org/ig/HL7/genomics-reporting/operations.html)
A short tandem repeat (STR) genotyping and analysis toolkit for long reads
🧬High-performance genetics- and genomics-related data visualization using Makie.jl
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