Introduction

High-throughput sequencing technologies produce large collections of data, mainly DNA sequences with additional information, requiring the design of efficient and effective methodologies for both their compression and storage. In this context, we first provide a classification of the main techniques that have been proposed, according to three specific research directions that have emerged from the literature and, for each, we provide an overview of the current techniques. Finally, to make this review useful to researchers and technicians applying the existing software and tools, we include a synopsis of the main characteristics of the described approaches, including details on their implementation and availability. Performance of the various methods is also highlighted, although the state of the art does not lend itself to a consistent and coherent comparison among all the methods presented here.

Publications

  1. Compressive biological sequence analysis and archival in the era of high-throughput sequencing technologies.
    Cite this
    Giancarlo R, Rombo SE, Utro F, 2014-05-01 - Briefings in bioinformatics
  2. High-throughput DNA sequence data compression.
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    Zhu Z, Zhang Y, Ji Z, He S, Yang X, 2015-01-01 - Briefings in bioinformatics
  3. Human genomes as email attachments.
    Cite this
    Christley S, Lu Y, Li C, Xie X, 2009-01-01 - Bioinformatics (Oxford, England)

Credits

  1. Raffaele Giancarlo
    Developer

    Dipartimento di Matematica ed Informatica, Università degli Studi di Palermo

  2. Simona E Rombo
    Developer

  3. Filippo Utro
    Investigator

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Summary
AccessionBT005596
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesC++
User InterfaceTerminal Command Line
Download Count0
Submitted ByFilippo Utro