BOL

User-friendly tools for the normalization and visualization of deep-sequencing data

maq.sourceforge.net - Maq stands for Mapping and Assembly with Quality It builds assembly by mapping short reads to reference sequences. Maq is a project hosted by SourceForge.net. The project page is available athttp://sourceforge.net/projects/maq/....

bioinformatics.oxfordjournals.org - Summary: Mate pair library sequencing is an effective and economical method for detecting genomic structural variants and chromosomal abnormalities. Unfortunately, the mapping and alignment of mate pair read pairs to a reference genome is a...

Consider a scenario in which a patient's genome has been sequenced. Among billions of DNA bases, a structural alteration may explain the patient's disease. Multiple advanced algorithms analyze the data, yet only one detects the variant, while the...

bitbucket.org - SimLoRD is a read simulator for third generation sequencing reads and is currently focused on the Pacific Biosciences SMRT error model. Reads are simulated from both strands of a provided or randomly generated reference sequence. The reference...

www.bioconductor.org - The QuasR package (short for Quantify and annotate short reads in R) integrates the functionality of several R packages (such as IRanges (Lawrence et al. 2013) and Rsamtools) and external software (e.g. bowtie, through the Rbowtie package, and...

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...

github.com - Jabba is a hybrid error correction tool to correct third generation (PacBio / ONT) sequencing data, using second generation (Illumina) data. Input Jabba takes as input a concatenated de Bruijn graph and a set of sequences: the de Bruijn graph...

github.com - BFC is a standalone high-performance tool for correcting sequencing errors from Illumina sequencing data. It is specifically designed for high-coverage whole-genome human data, though also performs well for small genomes. The BFC algorithm is a...

When you have both Illumina and Nanopore data, then SPAdes remains a good option for hybrid assembly - SPAdes was used to produce the B fragilis assembly by Mick Watson’s group. Again, running spades.py will show you the...