Interactive web-based identification and visualization of transcript shared sequences

Alaleh Azhir; Louis Henri Merino; David W. Nauen

doi:10.1016/j.ygeno.2018.05.010

Interactive web-based identification and visualization of transcript shared sequences

Alaleh Azhir, Louis Henri Merino, David W. Nauen

School of Medicine

Research output: Contribution to journal › Article › peer-review

Abstract

We have developed TraC (Transcript Consensus), a web-based tool for detecting and visualizing shared sequences among two or more mRNA transcripts such as splice variants. Results including exon-exon boundaries are returned in a highly intuitive, data-rich, interactive plot that permits users to explore the similarities and differences of multiple transcript sequences. The online tool (http://labs.pathology.jhu.edu/nauen/trac/) is free to use. The source code is freely available for download (https://github.com/nauenlab/TraC).

Original language	English (US)
Pages (from-to)	860-862
Number of pages	3
Journal	Genomics
Volume	111
Issue number	4
DOIs	https://doi.org/10.1016/j.ygeno.2018.05.010
State	Published - Jul 2019

Keywords

Alternative splicing
RNA
Splice variant
Visualization

ASJC Scopus subject areas

Genetics

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10.1016/j.ygeno.2018.05.010

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title = "Interactive web-based identification and visualization of transcript shared sequences",

abstract = "We have developed TraC (Transcript Consensus), a web-based tool for detecting and visualizing shared sequences among two or more mRNA transcripts such as splice variants. Results including exon-exon boundaries are returned in a highly intuitive, data-rich, interactive plot that permits users to explore the similarities and differences of multiple transcript sequences. The online tool (http://labs.pathology.jhu.edu/nauen/trac/) is free to use. The source code is freely available for download (https://github.com/nauenlab/TraC).",

keywords = "Alternative splicing, RNA, Splice variant, Visualization",

author = "Alaleh Azhir and Merino, {Louis Henri} and Nauen, {David W.}",

note = "Funding Information: The authors declare that they have no conflicts of interest. This research was supported by NINDS R25 NS079185 and Maryland Stem Cell Research Fund 2014-MSCRFE-0686. Publisher Copyright: {\textcopyright} 2018 Elsevier Inc.",

year = "2019",

month = jul,

doi = "10.1016/j.ygeno.2018.05.010",

language = "English (US)",

volume = "111",

pages = "860--862",

journal = "Genomics",

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T1 - Interactive web-based identification and visualization of transcript shared sequences

AU - Azhir, Alaleh

AU - Merino, Louis Henri

AU - Nauen, David W.

N1 - Funding Information: The authors declare that they have no conflicts of interest. This research was supported by NINDS R25 NS079185 and Maryland Stem Cell Research Fund 2014-MSCRFE-0686. Publisher Copyright: © 2018 Elsevier Inc.

PY - 2019/7

Y1 - 2019/7

N2 - We have developed TraC (Transcript Consensus), a web-based tool for detecting and visualizing shared sequences among two or more mRNA transcripts such as splice variants. Results including exon-exon boundaries are returned in a highly intuitive, data-rich, interactive plot that permits users to explore the similarities and differences of multiple transcript sequences. The online tool (http://labs.pathology.jhu.edu/nauen/trac/) is free to use. The source code is freely available for download (https://github.com/nauenlab/TraC).

AB - We have developed TraC (Transcript Consensus), a web-based tool for detecting and visualizing shared sequences among two or more mRNA transcripts such as splice variants. Results including exon-exon boundaries are returned in a highly intuitive, data-rich, interactive plot that permits users to explore the similarities and differences of multiple transcript sequences. The online tool (http://labs.pathology.jhu.edu/nauen/trac/) is free to use. The source code is freely available for download (https://github.com/nauenlab/TraC).

KW - Alternative splicing

KW - RNA

KW - Splice variant

KW - Visualization

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JO - Genomics

JF - Genomics

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ER -

Interactive web-based identification and visualization of transcript shared sequences

Abstract

Keywords

ASJC Scopus subject areas

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