github.com - odgi provides an efficient and succinct dynamic DNA sequence graph model, as well as a host of algorithms that allow the use of such graphs in bioinformatic analyses.
Careful encoding of graph entities allows odgi to efficiently...
schatzlab.cshl.edu - Monitoring the progress of DNA molecules through a membrane pore has been postulated as a method for sequencing DNA for several decades. Recently, a nanopore-based sequencing instrument, the Oxford Nanopore MinION, has become available that we used...
github.com - A comparative genome scaffolding tool based on MUMmer
mScaffolder scaffolds a genome using an existing high quality genome as the reference. It aligns the two genomes using nucmer utility from MUMmer and then orders and orients the contigs of the...
genome.sph.umich.edu - vt is a variant tool set that discovers short variants from Next Generation Sequencing data.
https://genome.sph.umich.edu/wiki/Vt
https://github.com/atks/vt
gite.lirmm.fr - An error correction method that uses long reads only. The method consists of two phases: first, we use an iterative alignment-free correction method based on de Bruijn graphs with increasing length of k-mers, and second, the corrected reads are...
github.com - iSeqQC, an expression-based QC tool that detects outliers either produced due to variable laboratory conditions or due to dissimilarity within a phenotypic group. iSeqQC implements various statistical approaches including unsupervised clustering,...
www2.heatmapper.ca - Heatmapper is a freely available web server that allows users to interactively visualize their data in the form of heat maps through an easy-to-use graphical interface. Heatmapper is a versatile tool that allows users to easily create a wide variety...
biochem218.stanford.edu - Excellent article to introduce different sequencing methods along with tools for de novo assembly of sequencing reads and their relevant references.
Title: Comparison of Short Read De Novo Alignment Algorithms
Author: Nikhil Gopal
github.com - ALPACA requires Celera Assembler 8.3 or later. It is recommended to build Celera Assembler from source. (Why? The pre-built binaries CA_8.3rc1 and CA8.3rc2 will work for any large data set.
Detail paper...