SPLOOCE: A new portal for the analysis of human splicing variants

Understanding alternative splicing is crucial to elucidate the mechanisms behind several biological phenomena, including diseases. The huge amount of expressed sequences available nowadays represents an opportunity and a challenge to catalog and display alternative splicing events (ASEs). Although...

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Principais autores: Kroll, José Eduardo, Galante, Pedro A. F., Ohara, Daniel T., Navarro, Fábio C. P., Ohno-Machado, Lucila, Souza, Sandro José de
Formato: article
Idioma:eng
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Assuntos:
bioinformatics
alternative splicing
combined alternative splicing events
database
method of analysis
regular expressions
next-generation sequencing
Endereço do item:https://repositorio.ufrn.br/jspui/handle/123456789/23275
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spelling ri-123456789-232752020-07-13T17:34:06Z SPLOOCE: A new portal for the analysis of human splicing variants Kroll, José Eduardo Galante, Pedro A. F. Ohara, Daniel T. Navarro, Fábio C. P. Ohno-Machado, Lucila Souza, Sandro José de bioinformatics alternative splicing combined alternative splicing events database method of analysis regular expressions next-generation sequencing Understanding alternative splicing is crucial to elucidate the mechanisms behind several biological phenomena, including diseases. The huge amount of expressed sequences available nowadays represents an opportunity and a challenge to catalog and display alternative splicing events (ASEs). Although several groups have faced this challenge with relative success, we still lack a computational tool that uses a simple and straightforward method to retrieve, name and present ASEs. Here we present SPLOOCE , a portal for the analysis of human splicing variants. SPLOOCE uses a method based on regular expressions for retrieval of ASEs. We propose a simple syntax that is able to capture the complexity of ASEs. 2017-05-31T13:34:01Z 2017-05-31T13:34:01Z 2012-11 article 1547-6286 https://repositorio.ufrn.br/jspui/handle/123456789/23275 eng Acesso Aberto application/pdf
institution Repositório Institucional
collection RI - UFRN
language eng
topic bioinformatics
alternative splicing
combined alternative splicing events
database
method of analysis
regular expressions
next-generation sequencing
spellingShingle bioinformatics
alternative splicing
combined alternative splicing events
database
method of analysis
regular expressions
next-generation sequencing
Kroll, José Eduardo
Galante, Pedro A. F.
Ohara, Daniel T.
Navarro, Fábio C. P.
Ohno-Machado, Lucila
Souza, Sandro José de
SPLOOCE: A new portal for the analysis of human splicing variants
description Understanding alternative splicing is crucial to elucidate the mechanisms behind several biological phenomena, including diseases. The huge amount of expressed sequences available nowadays represents an opportunity and a challenge to catalog and display alternative splicing events (ASEs). Although several groups have faced this challenge with relative success, we still lack a computational tool that uses a simple and straightforward method to retrieve, name and present ASEs. Here we present SPLOOCE , a portal for the analysis of human splicing variants. SPLOOCE uses a method based on regular expressions for retrieval of ASEs. We propose a simple syntax that is able to capture the complexity of ASEs.
format article
author Kroll, José Eduardo
Galante, Pedro A. F.
Ohara, Daniel T.
Navarro, Fábio C. P.
Ohno-Machado, Lucila
Souza, Sandro José de
author_facet Kroll, José Eduardo
Galante, Pedro A. F.
Ohara, Daniel T.
Navarro, Fábio C. P.
Ohno-Machado, Lucila
Souza, Sandro José de
author_sort Kroll, José Eduardo
title SPLOOCE: A new portal for the analysis of human splicing variants
title_short SPLOOCE: A new portal for the analysis of human splicing variants
title_full SPLOOCE: A new portal for the analysis of human splicing variants
title_fullStr SPLOOCE: A new portal for the analysis of human splicing variants
title_full_unstemmed SPLOOCE: A new portal for the analysis of human splicing variants
title_sort splooce: a new portal for the analysis of human splicing variants
publishDate 2017
url https://repositorio.ufrn.br/jspui/handle/123456789/23275
work_keys_str_mv AT krolljoseeduardo splooceanewportalfortheanalysisofhumansplicingvariants
AT galantepedroaf splooceanewportalfortheanalysisofhumansplicingvariants
AT oharadanielt splooceanewportalfortheanalysisofhumansplicingvariants
AT navarrofabiocp splooceanewportalfortheanalysisofhumansplicingvariants
AT ohnomachadolucila splooceanewportalfortheanalysisofhumansplicingvariants
AT souzasandrojosede splooceanewportalfortheanalysisofhumansplicingvariants
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