Compression of DNA microarray images

Miguel Hernández-Cabronero; Michael W. Marcellin; Joan Serra-Sagristà

doi:10.1201/9781315215785

Compression of DNA microarray images

Miguel Hernández-Cabronero, Michael W. Marcellin, Joan Serra-Sagristà

Research output: Chapter in Book › Chapter › Research › peer-review

2 Citations (Scopus)

Abstract

© 2014 by Taylor & Francis Group, LLC. The high spatial resolution of microarray image scanners results in relatively large image dimensions, easily exceeding 4000×13000 pixels in size in current commercial hardware. Due to the wide range of possible gene expression intensities, 16 bits to store each In in raw or tagged put of a single microarray experiment. The space requirements are multiplied when several experiments are performed as a part of a microarray study, as is usually the case. Therefore, the large amounts of data that are produced in laboratories around the world need to be efficiently stored and transmitted among computers in the same or in different centers. Data compression is the natural approach to this problem.

Original language	English
Title of host publication	Microarray Image and Data Analysis: Theory and Practice
Pages	195-225
Number of pages	30
DOIs	https://doi.org/10.1201/9781315215785
Publication status	Published - 1 Jan 2014

Access to Document

10.1201/9781315215785

Cite this

@inbook{1baa295b1a5e48bc804292e78154fc9a,

title = "Compression of DNA microarray images",

abstract = "{\textcopyright} 2014 by Taylor & Francis Group, LLC. The high spatial resolution of microarray image scanners results in relatively large image dimensions, easily exceeding 4000×13000 pixels in size in current commercial hardware. Due to the wide range of possible gene expression intensities, 16 bits to store each In in raw or tagged put of a single microarray experiment. The space requirements are multiplied when several experiments are performed as a part of a microarray study, as is usually the case. Therefore, the large amounts of data that are produced in laboratories around the world need to be efficiently stored and transmitted among computers in the same or in different centers. Data compression is the natural approach to this problem.",

author = "Miguel Hern{\'a}ndez-Cabronero and Marcellin, {Michael W.} and Joan Serra-Sagrist{\`a}",

year = "2014",

month = jan,

day = "1",

doi = "10.1201/9781315215785",

language = "English",

isbn = "9781466586871",

pages = "195--225",

booktitle = "Microarray Image and Data Analysis: Theory and Practice",

}

TY - CHAP

T1 - Compression of DNA microarray images

AU - Hernández-Cabronero, Miguel

AU - Marcellin, Michael W.

AU - Serra-Sagristà, Joan

PY - 2014/1/1

Y1 - 2014/1/1

N2 - © 2014 by Taylor & Francis Group, LLC. The high spatial resolution of microarray image scanners results in relatively large image dimensions, easily exceeding 4000×13000 pixels in size in current commercial hardware. Due to the wide range of possible gene expression intensities, 16 bits to store each In in raw or tagged put of a single microarray experiment. The space requirements are multiplied when several experiments are performed as a part of a microarray study, as is usually the case. Therefore, the large amounts of data that are produced in laboratories around the world need to be efficiently stored and transmitted among computers in the same or in different centers. Data compression is the natural approach to this problem.

AB - © 2014 by Taylor & Francis Group, LLC. The high spatial resolution of microarray image scanners results in relatively large image dimensions, easily exceeding 4000×13000 pixels in size in current commercial hardware. Due to the wide range of possible gene expression intensities, 16 bits to store each In in raw or tagged put of a single microarray experiment. The space requirements are multiplied when several experiments are performed as a part of a microarray study, as is usually the case. Therefore, the large amounts of data that are produced in laboratories around the world need to be efficiently stored and transmitted among computers in the same or in different centers. Data compression is the natural approach to this problem.

U2 - 10.1201/9781315215785

DO - 10.1201/9781315215785

M3 - Chapter

SN - 9781466586871

SN - 9781466586826

SP - 195

EP - 225

BT - Microarray Image and Data Analysis: Theory and Practice

ER -

Compression of DNA microarray images

Abstract

Access to Document

Fingerprint

Cite this