articleThe Open Bioinformatics JournalJan 31, 2013DIAMOND OA

Comparison of Sequencing Utility Programs

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Abstract

High throughput sequencing (HTS) has resulted in extreme growth rates of sequencing data. At our lab, we generate terabytes of data every day. It is usually seen as required for data output to be “cleaned” and processed in various ways prior to use for common tasks such as variant calling, expression quantification and assembly. Two common tasks associated with HTS are adapter trimming and paired-end joining . I have developed two tools at Expression Analysis, Inc. to address these common tasks. The names of these programs are fastq-mcf and fastq-join . I compared the performance of these tools to similar open-source utilities, both in terms of resource efficiency, and effectiveness.

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Topics & keywords

Keywords
  • Computer science
  • Adapter (computing)
  • Terabyte
  • Trimming
  • Data mining
  • Throughput
  • Resource (disambiguation)
  • Operating system
UN Sustainable Development Goals
  • Decent work and economic growth
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