FASTQSim

alpha

NGS data characterization and in silico read generation

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Description

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.

FASTQsim allows the user to simulate individual read datasets that can be used as standardized test scenarios for planning sequencing projects or for benchmarking metagenomic software. In this regard, in silico datasets generated with the FASTQsim tool hold several advantages over natural datasets: they are sequencing platform independent, extremely well characterized, and less expensive to generate.

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Additional Project Details

Registered

2013-10-29
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