platform-independent data characterization and in silico read generation for NGS datasets Long Description (required)
FASTQSim is a tool that provides the dual functionality of Next-Gen Sequencing dataset characterization and metagenomic data generation.
FASTQSim is sequencing platform-independent, and computes distributions of read length, quality scores, indel rates, single point mutation rates, indel size, and similar statistics for any sequencing
platform. To create training or testing datasets, FASTQSim has the ability to convert target sequences into in silico reads with matching
error profiles. https://sourceforge.net/projects/fastqsim bo.peng@bcm.edu
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 selectedFill 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
[Pubmed ID: 25123167 ],
Shcherbina A ,
FASTQSim: platform-independent data characterization and in silico read generation for NGS datasets. ,
BMC Res Notes ,
08-15-2014 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=25123167, Primary Citation