github.com - The goal of the Shasta long read assembler is to rapidly produce accurate assembled sequence using as input DNA reads generated by Oxford Nanopore flow cells.
Computational methods used by the Shasta assembler include:
Using...
github.com - wgd is a easy to use command-line tool for KS distribution construction named wgd. The wgd suite provides commonly used KS and colinearity analysis workflows together with tools for modeling and visualization, rendering these...
www.breedinginsight.org - Breeding Insight at Cornell University will leverage recent improvements in genomics and open source informatics components, and in partnership with small breeding programs, will enable these programs to harness powerful digital...
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...
jokergoo.github.io - Upset plots are a type of visualization used to analyze the intersection of sets or categories. They are particularly useful for displaying data with multiple categories and analyzing their overlaps.
In an upset plot, each row represents a category...
biokit.readthedocs.io - BioKit is a set of tools dedicated to bioinformatics, data visualisation (biokit.viz), access to online biological data (e.g. UniProt, NCBI thanks to bioservices). It also contains more advanced tools related to data analysis...
bitbucket.org - SVEngine (Structural Variants Engine)
SVEngine is a multi-purpose and self-contained simulator for whole genome scale spike-in of thousands of SV events of various types in both single-sample and matched sample scenarios.
SVEngine takes as input...
github.com - NextSV, a meta SV caller and a computational pipeline to perform SV calling from low coverage long-read sequencing data. NextSV integrates three aligners and three SV callers and generates two integrated call sets (sensitive/stringent) for different...
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...
github.com - MUM&Co is able to detect:Deletions, insertions, tandem duplications and tandem contractions (>=50bp & <=150kb)Inversions (>=1kb) and translocations (>=10kb)