Unbound MEDLINE

Slim-filter: an interactive Windows-based application for illumina genome analyzer data assessment and manipulation.

Abstract

BACKGROUND
The emergence of Next Generation Sequencing technologies has made it possible for individual investigators to generate gigabases of sequencing data per week. Effective analysis and manipulation of these data is limited due to large file sizes, so even simple tasks such as data filtration and quality assessment have to be performed in several steps. This requires (potentially problematic) interaction between the investigator and a bioinformatics/computational service provider. Furthermore, such services are often performed using specialized computational facilities.
RESULTS
We present a Windows-based application, Slim-Filter designed to interactively examine the statistical properties of sequencing reads produced by Illumina Genome Analyzer and to perform a broad spectrum of data manipulation tasks including: filtration of low quality and low complexity reads; filtration of reads containing undesired subsequences (such as parts of adapters and PCR primers used during the sample and sequencing libraries preparation steps); excluding duplicated reads (while keeping each read's copy number information in a specialized data format); and sorting reads by copy numbers allowing for easy access and manual editing of the resulting files. Slim-Filter is organized as a sequence of windows summarizing the statistical properties of the reads. Each data manipulation step has roll-back abilities, allowing for return to previous steps of the data analysis process. Slim-Filter is written in C++ and is compatible with fasta, fastq, and specialized AS file formats presented in this manuscript. Setup files and a user's manual are available for download at the supplementary web site ( https://www.bioinfo.uh.edu/Slim_Filter/).
CONCLUSION
The presented Windows-based application has been developed with the goal of providing individual investigators with integrated sequencing reads analysis, curation, and manipulation capabilities.

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  • Authors

    Golovko G, Khanipov K, Rojas M, Martinez-Alcántara A, Howard JJ, Ballesteros E, Gupta S, Widger W, Fofanov Y

    Institution

    Center for BioMedical and Environmental Genomics, University of Houston, Houston, TX, USA. ggolovko@bioinfo.uh.edu

    Source

    BMC bioinformatics 13: 2012 pg 166

    MeSH

    Computational Biology
    DNA Primers
    Genome
    Sequence Analysis, DNA
    Software

    Pub Type(s)

    Journal Article
    Research Support, Non-U.S. Gov't
    Research Support, U.S. Gov't, Non-P.H.S.

    Language

    eng

    PubMed ID

    22800377