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From the third issue of 2017, Microarrays has changed its name to High-Throughput.

Open AccessEditorial
Microarrays 2016, 5(4), 26; doi:10.3390/microarrays5040026

Computational Modeling and Analysis of Microarray Data: New Horizons

Sci-Sym Centre (Scientific Computing & Complex Systems Modelling), School of Computing, Dublin City University, Dublin 9, Ireland
Academic Editor: Massimo Negrini
Received: 11 October 2016 / Revised: 13 October 2016 / Accepted: 13 October 2016 / Published: 21 October 2016
(This article belongs to the Special Issue Computational Modeling and Analysis of Microarray Data: New Horizons)
View Full-Text   |   Download PDF [153 KB, uploaded 21 October 2016]

Abstract

High-throughput microarray technologies have long been a source of data for a wide range of biomedical investigations. Over the decades, variants have been developed and sophistication of measurements has improved, with generated data providing both valuable insight and considerable analytical challenge. The cost-effectiveness of microarrays, as well as their fundamental applicability, made them a first choice for much early genomic research and efforts to improve accessibility, quality and interpretation have continued unabated. In recent years, however, the emergence of new generations of sequencing methods and, importantly, reduction of costs, has seen a preferred shift in much genomic research to the use of sequence data, both less ‘noisy’ and, arguably, with species information more directly targeted and easily interpreted. Nevertheless, new microarray data are still being generated and, together with their considerable legacy, can offer a complementary perspective on biological systems and disease pathogenesis. The challenge now is to exploit novel methods for enhancing and combining these data with those generated by alternative high-throughput techniques, such as sequencing, to provide added value. Augmentation and integration of microarray data and the new horizons this opens up, provide the theme for the papers in this Special Issue. View Full-Text
Keywords: microarray data types; high-throughput genomic analysis; modeling gene expression; augmentation; integration; sequencing techniques microarray data types; high-throughput genomic analysis; modeling gene expression; augmentation; integration; sequencing techniques
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ruskin, H.J. Computational Modeling and Analysis of Microarray Data: New Horizons. Microarrays 2016, 5, 26.

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