DeepSelecNet is an enhanced deep learning model to perform read classification for selective sequencing.

Ampseer examines reads in fastq format and identifies which multiplex PCR primer set was used to generate the SARS-CoV-2 sequencing library they are read from. It is intended to differentiate between ARTIC v3, ARTIC v4, ARTIC v4.1, VarSkip 1a, VarSkip 2, Midnight and VarSkip Long primer sets sequenced by Illumina or ONT.

This repository contains the code to run the ASCETS arm-level copy number events caller for targeted sequencing data. ASCETS produces arm-level copy-number variant calls and arm-level weighted average log2 segment means from segmented copy number data.

NGSphy: phylogenomic simulation of next-generation sequencing data

Targeted Amplicon Bisulfite Sequencing Analysis Tool

A reproducible and scalable snakemake workflow for the analysis of DNA metabarcoding experiments, with a special focus on food and feed samples.

Identification of gene-fusions, including EML4-ALK

Create a normalized heatmap for targeted RNAseq count matrix using user-defined housekeeping gene normalization.

Targeted RNA-sequencing for the quantification of measurable residual disease in acute myeloid leukemia

pyAmpli: an amplicon-based variant filter pipeline for targeted enriched resequencing data

Tools for analyzing UMIErrorCorrect output

Coverage analysis of the data from the targeted-sequencing experiment of Hummingbirds (data from the paper Fonseca et al. 2018)

For simulations of targeted-sequencing experiments under a known species/gene tree distribution, extracts the reference sequences that be used for mapping.

MSKCC CMO Innovation Lab

A Snakemake pipeline for copy number variant calling without normal tissue samples

Barcode Analyzer for metabarcoding experiments

🍃 🧬 🧹 Probe set cleaning (Melastomataceae)