musket.sourceforge.net - Musket is a well-established leading next-generation sequencing read error correction algorithm targetting Illumina sequencing. This corrector employs the k-mer spectrum approach and introduces three correction techniques in a multistage...
github.com - Pollux: General-purpose error corrector that corrects errors introduced by Illumina, Ion Torrent, and Roche 454 sequencing technologies and can be applied to single- or mixed-genome data. In addition to correcting substitution errors, we locate and...
www.healthcare.uiowa.edu - Getting Started
These simple steps will help you integrate LSC into your transcriptomics analysis pipeline.
Read the LSC_requirements for running LSC.
Download and set-up the LSC package.
Follow the tutorial to see how...
talks.biogo.googlecode.com - Another good lecture for Illumina sequencing data analysis from
Dan Kortschak, Bioinformatics Group, School of Molecular and Biomedical Science ,The University of Adelaide
github.com - PANDASEQ is a program to align Illumina reads, optionally with PCR primers embedded in the sequence, and reconstruct an overlapping sequence.
More at https://github.com/neufeld/pandaseq
neufeldserver.uwaterloo.ca - PANDASEQ assembles paired-end Illumina reads into sequences, trying to correct for errors and uncalled bases. The assembler reads two files in FASTQ format with quality information. If amplification primers were used (e.g., to isolate a variable...
github.com - GraphMap - A highly sensitive and accurate mapper for long, error-prone reads http://www.nature.com/ncomms/2016/160415/ncomms11307/full/ncomms11307.htmlFeatures Mapping position agnostic to alignment parameters. ...
github.com - MashMap is a fast and approximate software for mapping long reads (PacBio/ONT) or assembly to reference genome(s). It maps a query sequence against a reference region if and only if its estimated alignment identity is above a specified threshold. It...
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...