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3' End Sequencing Library Preparation with A-seq2
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fastQ_brew: module for analysis, preprocessing, and reformatting of FASTQ sequence data.

Damien M O'Halloran1,2

  • 1Institute for Neuroscience, The George Washington University, 636 Ross Hall, 2300 I St. N.W., Washington, DC, 20052, USA. damienoh@gwu.edu.

BMC Research Notes
|July 14, 2017
PubMed
Summary
This summary is machine-generated.

fastQ_brew is a new software package for preprocessing next-generation sequencing data. It offers robust methods for filtering and manipulating FASTQ files to ensure data integrity and quality for downstream analysis.

Keywords:
FASTQNGSSequencing

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Next-generation sequencing (NGS) data is stored in FASTQ format.
  • Preprocessing FASTQ files is crucial for data integrity and quality.
  • Downstream analysis can be affected by artefacts in raw sequence data.

Purpose of the Study:

  • To introduce fastQ_brew, a software package for FASTQ data manipulation.
  • To provide tools for evaluating and filtering sequence data.
  • To enhance the quality of NGS data for reliable analysis.

Main Methods:

  • fastQ_brew offers methods for sequence data evaluation and manipulation.
  • Filtering options include sequence size, quality, and adapter content.
  • Tools for trimming, duplicate read removal, and base manipulation are included.

Main Results:

  • fastQ_brew enables efficient filtering of FASTQ data based on various criteria.
  • The package provides summary statistics for both unfiltered and filtered data.
  • Included functionalities are FASTQ to FASTA conversion and reverse complement operations.

Conclusions:

  • fastQ_brew is an open-source software package.
  • It is freely available for all users.
  • The package facilitates robust preprocessing of FASTQ sequence data.