Profile-based Illumina pair-end reads simulator Long Description (required) It simulates Illumina reads with empirical Base-Calling and GC%-depth profiles trained from real re-sequencing data.
It considers error & quality distributions, as well as coverage bias patterns.
In addition, pIRS also comes with a tool to simulate the heterozygous diploid genomes. https://code.google.com/p/pirs/ firstname.lastname@example.org Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator. Every sub-attribute is selected Not all sub-attributes are selected Fill Clear Expand Collapse Reset Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s). Can't Find the Attribute You Are Looking For?
If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the
Additional Comment box of the Submit tab. Summary of Proposed Changes Current Citations/Applications
pIRS: Profile-based Illumina pair-end reads simulator. Bioinformatics,
https://www.ncbi.nlm.nih.gov/pubmed/?term=22508794, Primary Citation