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Pipit: visualizing functional impacts of structural variations
Summary: Pipit is a gene-centric interactive visualization tool designed to study structural genomic variations. Through focusing on individual genes as the functional unit, researchers are able to study and generate hypotheses on the biological impact of different structural variations, for instanc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740631/ https://www.ncbi.nlm.nih.gov/pubmed/23803468 http://dx.doi.org/10.1093/bioinformatics/btt367 |
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author | Sakai, Ryo Moisse, Matthieu Reumers, Joke Aerts, Jan |
author_facet | Sakai, Ryo Moisse, Matthieu Reumers, Joke Aerts, Jan |
author_sort | Sakai, Ryo |
collection | PubMed |
description | Summary: Pipit is a gene-centric interactive visualization tool designed to study structural genomic variations. Through focusing on individual genes as the functional unit, researchers are able to study and generate hypotheses on the biological impact of different structural variations, for instance, the deletion of dosage-sensitive genes or the formation of fusion genes. Pipit is a cross-platform Java application that visualizes structural variation data from Genome Variation Format files. Availability: Executables, source code, sample data, documentation and screencast are available at https://bitbucket.org/biovizleuven/pipit. Contact: ryo.sakai@esat.kuleuven.be Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-3740631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-37406312013-08-13 Pipit: visualizing functional impacts of structural variations Sakai, Ryo Moisse, Matthieu Reumers, Joke Aerts, Jan Bioinformatics Applications Notes Summary: Pipit is a gene-centric interactive visualization tool designed to study structural genomic variations. Through focusing on individual genes as the functional unit, researchers are able to study and generate hypotheses on the biological impact of different structural variations, for instance, the deletion of dosage-sensitive genes or the formation of fusion genes. Pipit is a cross-platform Java application that visualizes structural variation data from Genome Variation Format files. Availability: Executables, source code, sample data, documentation and screencast are available at https://bitbucket.org/biovizleuven/pipit. Contact: ryo.sakai@esat.kuleuven.be Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2013-09-01 2013-06-25 /pmc/articles/PMC3740631/ /pubmed/23803468 http://dx.doi.org/10.1093/bioinformatics/btt367 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Sakai, Ryo Moisse, Matthieu Reumers, Joke Aerts, Jan Pipit: visualizing functional impacts of structural variations |
title | Pipit: visualizing functional impacts of structural variations |
title_full | Pipit: visualizing functional impacts of structural variations |
title_fullStr | Pipit: visualizing functional impacts of structural variations |
title_full_unstemmed | Pipit: visualizing functional impacts of structural variations |
title_short | Pipit: visualizing functional impacts of structural variations |
title_sort | pipit: visualizing functional impacts of structural variations |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740631/ https://www.ncbi.nlm.nih.gov/pubmed/23803468 http://dx.doi.org/10.1093/bioinformatics/btt367 |
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