#Ngs
Showing 11 of 11 repositories tagged #ngs, ranked by stars
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Pysam is a Python package for reading, manipulating, and writing genomics data such as SAM/BAM/CRAM and VCF/BCF files. It's a lightweight wrapper of the HTSlib API, the same one that powers samtools, bcftools, and tabix.
Tools to process and analyze deep sequencing data.
viral-ngs: command line tools and wrappers for processing raw viral genomic data
Detect and visualize target mutations by scanning FastQ files directly
Oxbow makes genomic data ready for high-performance analytics.
An ultra-fast tool for identification of SARS-CoV-2 and other microbes from sequencing data. This tool can be used to detect viral infectious diseases, like COVID-19.
Dockerised Next Generation Sequencing Pipeline (QC, Align, Calling, Annotation)
A Snakemake workflow and MrBiomics module to split, filter, normalize, integrate and select highly variable features of count matrices resulting from next-generation sequencing (NGS) experiments (e.g., RNA-seq, ATAC-seq, ChIP-seq, Methyl-seq, miRNA-seq,...) including confounding factor analysis and diagnostic visualizations.
Micro 612 genomics workshop
Computational Suite for Bioinformaticians and Biologists (CSBB) is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics analysis