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...
sanger-pathogens.github.io - A tool to circularize genome assemblies. The algorithm and benchmarks are described in the Genome Biology manuscript.
Citation: "Circlator: automated circularization of genome assemblies using long sequencing reads", Hunt et al, Genome Biology...
github.com - Breakpointer is a fast tool for locating sequence breakpoints from the alignment of single end reads (SE) produced by next generation sequencing (NGS). It adopts a heuristic method in searching for local mapping signatures created by...
github.com - Development packages for zlib and libbz2 are needed, as well as a standard compiler environment. On Ubuntu, this can be installed via:
sudo apt-get install build-essential libtool automake zlib1g-dev libbz2-dev pkg-config
On MacOS, the Apple...
github.com - Call sviper
~$ ./sviper -s short-reads.bam -l long-reads.bam -r ref.fa -c variants.vcf -o polished_variants
This will output a polished_variants.vcf file, that contains all the refined variants.
Sometimes it is helpful to look at the...
github.com - Deepbinner is a tool for demultiplexing barcoded Oxford Nanopore sequencing reads. It does this with a deep convolutional neural network classifier, using many of the architectural advances that have proven successful in image classification. Unlike...
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...
apps.bioconnector.virginia.edu - Coverage / Read Count Calculator
Calculate how much sequencing you need to hit a target depth of coverage (or vice versa).
Instructions: set the read length/configuration and genome size, then select what you want to calculate.
Written by Stephen...
journals.plos.org - Illumina Sequencing data can provide high coverage of a genome by relatively short (most often 100 bp to 150 bp) reads at a low cost. Even with low (advertised 1%) error rate, 100 × coverage Illumina data on average has an error in some read...