Space: An algorithm to predict and quantify alternatively spliced isoforms using microarrays

Miguel A. Anton; Dorleta Gorostiaga; Elizabeth Guruceaga; Victor Segura; Pedro Carmona-Saez; Alberto Pascual-Montano; Ruben Pio; Luis M. Montuenga; Angel Rubio

doi:10.1201/b16589

Space: An algorithm to predict and quantify alternatively spliced isoforms using microarrays

Miguel A. Anton
, Dorleta Gorostiaga
, Elizabeth Guruceaga
, Victor Segura
, Pedro Carmona-Saez
, Alberto Pascual-Montano
, Ruben Pio
, Luis M. Montuenga
, Angel Rubio

Integromics
Complutense University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Alternative splicing (AS) is the process by which multiple mature mRNA sequences can be generated from the same precursor mRNA (pre-mRNA) upon the differential joining of exonic sequences limited by 5' and 3' splice sites. Through splicing mechanisms exons can be extended or shortened, skipped or included, and intronic sequences may even be retained in the mRNA sequences. AS is one of the most important sources of protein diversity in vertebrates, and at least half of human genes are alternatively spliced [1-3]. AS has been shown to be very relevant in a variety of human diseases, including cancer, and there is increasing interest in the use of AS in developing diagnostic tools and identifying new therapeutic targets [4-7].

Original language	English
Title of host publication	Bioinformatics
Subtitle of host publication	The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research
Publisher	Apple Academic Press
Pages	105-144
Number of pages	40
ISBN (Electronic)	9781482246629
ISBN (Print)	9781771880190
DOIs	https://doi.org/10.1201/b16589
Publication status	Published - 1 Jan 2014
Externally published	Yes

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1201/b16589

Cite this

Anton, M. A., Gorostiaga, D., Guruceaga, E., Segura, V., Carmona-Saez, P., Pascual-Montano, A., Pio, R., Montuenga, L. M., & Rubio, A. (2014). Space: An algorithm to predict and quantify alternatively spliced isoforms using microarrays. In Bioinformatics: The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research (pp. 105-144). Apple Academic Press. https://doi.org/10.1201/b16589

@inbook{e4b27e8701d0488d8dfcf8b8602fcf8f,

title = "Space: An algorithm to predict and quantify alternatively spliced isoforms using microarrays",

abstract = "Alternative splicing (AS) is the process by which multiple mature mRNA sequences can be generated from the same precursor mRNA (pre-mRNA) upon the differential joining of exonic sequences limited by 5' and 3' splice sites. Through splicing mechanisms exons can be extended or shortened, skipped or included, and intronic sequences may even be retained in the mRNA sequences. AS is one of the most important sources of protein diversity in vertebrates, and at least half of human genes are alternatively spliced [1-3]. AS has been shown to be very relevant in a variety of human diseases, including cancer, and there is increasing interest in the use of AS in developing diagnostic tools and identifying new therapeutic targets [4-7].",

author = "Anton, \{Miguel A.\} and Dorleta Gorostiaga and Elizabeth Guruceaga and Victor Segura and Pedro Carmona-Saez and Alberto Pascual-Montano and Ruben Pio and Montuenga, \{Luis M.\} and Angel Rubio",

note = "Publisher Copyright: {\textcopyright} 2014 by Apple Academic Press, Inc.",

year = "2014",

month = jan,

day = "1",

doi = "10.1201/b16589",

language = "English",

isbn = "9781771880190",

pages = "105--144",

booktitle = "Bioinformatics",

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}

Anton, MA, Gorostiaga, D, Guruceaga, E, Segura, V, Carmona-Saez, P, Pascual-Montano, A, Pio, R, Montuenga, LM & Rubio, A 2014, Space: An algorithm to predict and quantify alternatively spliced isoforms using microarrays. in Bioinformatics: The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research. Apple Academic Press, pp. 105-144. https://doi.org/10.1201/b16589

Space: An algorithm to predict and quantify alternatively spliced isoforms using microarrays. / Anton, Miguel A.; Gorostiaga, Dorleta; Guruceaga, Elizabeth et al.
Bioinformatics: The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research. Apple Academic Press, 2014. p. 105-144.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Space

T2 - An algorithm to predict and quantify alternatively spliced isoforms using microarrays

AU - Anton, Miguel A.

AU - Gorostiaga, Dorleta

AU - Guruceaga, Elizabeth

AU - Segura, Victor

AU - Carmona-Saez, Pedro

AU - Pascual-Montano, Alberto

AU - Pio, Ruben

AU - Montuenga, Luis M.

AU - Rubio, Angel

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Alternative splicing (AS) is the process by which multiple mature mRNA sequences can be generated from the same precursor mRNA (pre-mRNA) upon the differential joining of exonic sequences limited by 5' and 3' splice sites. Through splicing mechanisms exons can be extended or shortened, skipped or included, and intronic sequences may even be retained in the mRNA sequences. AS is one of the most important sources of protein diversity in vertebrates, and at least half of human genes are alternatively spliced [1-3]. AS has been shown to be very relevant in a variety of human diseases, including cancer, and there is increasing interest in the use of AS in developing diagnostic tools and identifying new therapeutic targets [4-7].

AB - Alternative splicing (AS) is the process by which multiple mature mRNA sequences can be generated from the same precursor mRNA (pre-mRNA) upon the differential joining of exonic sequences limited by 5' and 3' splice sites. Through splicing mechanisms exons can be extended or shortened, skipped or included, and intronic sequences may even be retained in the mRNA sequences. AS is one of the most important sources of protein diversity in vertebrates, and at least half of human genes are alternatively spliced [1-3]. AS has been shown to be very relevant in a variety of human diseases, including cancer, and there is increasing interest in the use of AS in developing diagnostic tools and identifying new therapeutic targets [4-7].

UR - https://www.scopus.com/pages/publications/85054673685

U2 - 10.1201/b16589

DO - 10.1201/b16589

M3 - Chapter

AN - SCOPUS:85054673685

SN - 9781771880190

SP - 105

EP - 144

BT - Bioinformatics

PB - Apple Academic Press

ER -

Space: An algorithm to predict and quantify alternatively spliced isoforms using microarrays

Abstract

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