spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data

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Standard

spliceR : an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data. / Vitting-Seerup, Kristoffer; Porse, Bo Torben; Sandelin, Albin; Waage, Johannes.

I: B M C Bioinformatics, Bind 15, 81, 2014, s. 1-7.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Vitting-Seerup, K, Porse, BT, Sandelin, A & Waage, J 2014, 'spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data', B M C Bioinformatics, bind 15, 81, s. 1-7. https://doi.org/10.1186/1471-2105-15-81

APA

Vitting-Seerup, K., Porse, B. T., Sandelin, A., & Waage, J. (2014). spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data. B M C Bioinformatics, 15, 1-7. [81]. https://doi.org/10.1186/1471-2105-15-81

Vancouver

Vitting-Seerup K, Porse BT, Sandelin A, Waage J. spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data. B M C Bioinformatics. 2014;15:1-7. 81. https://doi.org/10.1186/1471-2105-15-81

Author

Vitting-Seerup, Kristoffer ; Porse, Bo Torben ; Sandelin, Albin ; Waage, Johannes. / spliceR : an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data. I: B M C Bioinformatics. 2014 ; Bind 15. s. 1-7.

Bibtex

@article{af1a890d5abc4c9a990c472c3721e8cc,
title = "spliceR: an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data",
abstract = "RNA-seq data is currently underutilized, in part because it is difficult to predict the functional impact of alternate transcription events. Recent software improvements in full-length transcript deconvolution prompted us to develop spliceR, an R package for classification of alternative splicing and prediction of coding potential.",
author = "Kristoffer Vitting-Seerup and Porse, {Bo Torben} and Albin Sandelin and Johannes Waage",
year = "2014",
doi = "10.1186/1471-2105-15-81",
language = "English",
volume = "15",
pages = "1--7",
journal = "B M C Bioinformatics",
issn = "1471-2105",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - spliceR

T2 - an R package for classification of alternative splicing and prediction of coding potential from RNA-seq data

AU - Vitting-Seerup, Kristoffer

AU - Porse, Bo Torben

AU - Sandelin, Albin

AU - Waage, Johannes

PY - 2014

Y1 - 2014

N2 - RNA-seq data is currently underutilized, in part because it is difficult to predict the functional impact of alternate transcription events. Recent software improvements in full-length transcript deconvolution prompted us to develop spliceR, an R package for classification of alternative splicing and prediction of coding potential.

AB - RNA-seq data is currently underutilized, in part because it is difficult to predict the functional impact of alternate transcription events. Recent software improvements in full-length transcript deconvolution prompted us to develop spliceR, an R package for classification of alternative splicing and prediction of coding potential.

U2 - 10.1186/1471-2105-15-81

DO - 10.1186/1471-2105-15-81

M3 - Journal article

VL - 15

SP - 1

EP - 7

JO - B M C Bioinformatics

JF - B M C Bioinformatics

SN - 1471-2105

M1 - 81

ER -

ID: 107120926