61590
doi
10.5281/zenodo.61590
oai:zenodo.org:61590
Weber, Lorenz
Department of Bioinformatics, Biocenter, Würzburg, Germany
Becker, Dirk
Department of Bioinformatics, Biocenter, Würzburg, Germany
Förster, Frank
Center for Computational and Theoretical Biology, University of Würzburg, Germany
Bemm, Felix
Max-Planck-Institute for Developmental Biology, Department Molecular Biology (Detlef Weigel), Tübingen, Germany
TBro - a transcriptome browser for de novo RNA-sequencing experiments
Ankenbrand, Markus J.
Department of Animal Ecology and Tropical Biology, Biocenter, Würzburg, Germany
doi:10.1101/gr.202200.115
doi:10.1093/bioinformatics/btm189
doi:10.1016/S0022-2836(05)80360-2
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Transcriptome
Browser
Expression
Visualization
<p>Nowadays, information about the identity and expression levels of genes are often retrieved by RNA-sequencing (RNA-seq). One of its major challenges is gaining biologically meaningful information from the vast amount of short read data. Therefore, tools for assembly and quantification have been developed. Still, the problem remains, that their results are often huge text files which are difficult to handle and interpret. Here we present TBro, a flexible denovo transcriptome browser, tackling this challenge. It aggregates data from different sources and allows interactive exploration of transcriptomes.<br>
This comprises assembled sequences as well as multiple annotation information. Moreover, expression level analyses and differential expression analyses can be visualized. Furthermore, TBro supports collaborative workflows. User created subsets of transcripts can be shared with other researchers for further investigation. TBro can be easily integrated into existing workflows and is also easily extensible due to its modular design. Therefore, TBro is well suited to assist in unravelling the biological story hidden underneath the wealth of RNA-seq data.</p>
Presented at the GCB 2016 in Berlin (poster 66, session 2).
Zenodo
2016-09-13
info:eu-repo/semantics/conferencePoster
641088
1579539718.241856
2124633
md5:83ca47121228e00d2d8626c97f9eb2c8
https://zenodo.org/records/61590/files/poster.pdf
public
10.1101/gr.202200.115
Cites
doi
10.1093/bioinformatics/btm189
Cites
doi
10.1016/S0022-2836(05)80360-2
Cites
doi
isVersionOf
doi