github.com - HISAT2 is a fast and sensitive alignment program for mapping next-generation sequencing reads (both DNA and RNA) to a population of human genomes (as well as to a single reference genome). Based on an extension of BWT for...
bioinfo.ut.ee - FastGT is a program package for whole-genome genotyping of genome variants directly from raw sequencing reads. It is written in C and runs in Linux. FastGT uses a list of variant-specific k-mer pairs that are unique in human genome, counts the...
github.com - DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation...
help.rc.ufl.edu - More at https://help.rc.ufl.edu/doc/Kmer
This also includes:
A2Amapper: ATAC, Assembly to Assembly Comparision tool:
Comparative mapping between two genome assemblies (same species), or between two different genomes (cross...
github.com - Binaries of ngs-bits are available via Bioconda. Alternatively, ngs-bits can be built from sources:
Binaries for Linux/macOS
From sources for Linux/macOS
From sources for Windows
List of generic simulation software/tools/resource with brief description and homepage
ALF A Simulation Framework for Genome Evolution http://www.cbrg.ethz.ch/alfBayesian Serial SimCoal Bayesian Serial SimCoal, (BayeSSC) is a modification of...
The goal of our research is to interpret and distill this complexity through accurate analysis and modeling of molecular pathways, particularly those in which malfunctions lead to the manifestation of disease. We are inventing integrative methods...
github.com - SHAMAN is a shiny application for differential analysis of metagenomic data (16S, 18S, 23S, 28S, ITS and WGS) including bioinformatics treatment of raw reads for targeted metagenomics, statistical analysis and results visualization with a large...
the sequenced reads can be mapped to the organism’s genes to assess how differently the genes are expressed under the experimental circumstances as opposed to the control scenario. This is known as differential expression (DE) analysis