visrseq.github.io

VisRseq

VisRseq, is a framework for analysis of sequencing datasets that provides a computationally rich and accessible framework for integrative and interactive analyses without requiring programming expertise. Offering a semi-auto generated and unified graphical user interface for computational packages in R and repositories such as Bioconductor. Several native apps provide exploration and brushing operations. The apps can be chained together to create more powerful analysis workflows. June 26, 2016.

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VisRseq | visrseq.github.io Reviews

<META> DESCRIPTION

VisRseq, is a framework for analysis of sequencing datasets that provides a computationally rich and accessible framework for integrative and interactive analyses without requiring programming expertise. Offering a semi-auto generated and unified graphical user interface for computational packages in R and repositories such as Bioconductor. Several native apps provide exploration and brushing operations. The apps can be chained together to create more powerful analysis workflows. June 26, 2016.

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1 downloads

2 user guide

3 credits

4 publication

5 visrseq

6 features

7 r apps

8 interactive apps

9 chaining apps

10 data manipulation

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VisRseq | visrseq.github.io Reviews

https://visrseq.github.io

VisRseq, is a framework for analysis of sequencing datasets that provides a computationally rich and accessible framework for integrative and interactive analyses without requiring programming expertise. Offering a semi-auto generated and unified graphical user interface for computational packages in R and repositories such as Bioconductor. Several native apps provide exploration and brushing operations. The apps can be chained together to create more powerful analysis workflows. June 26, 2016.

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visrseq.github.io

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User Guide

http://visrseq.github.io/guide

User Guide 0.73: (PDF).

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Downloads

http://visrseq.github.io/downloads

VisRseq 0.9.12 (40 MB). Example Data (50 MB optional). VisRseq 0.9.8 (40 MB). VisRseq 0.8 (33 MB). Download and extract the compressed file. Right-click on Run OSX.command and select Open. Confirm running the application. Double click Run Unix.sh. Double click Run Windows.bat. VisRseq requires the following to work. If you don’t already have them, download and install them before running VisRseq. Java SE Runtime Environment. R for Mac OS X. Java SE Runtime Environment. Java SE Runtime Environment.

3

Publication

http://visrseq.github.io/publication

VisRseq: R-based visual framework for analysis of sequencing data. Hamid Younesy, Torsten Möller, Matthew C. Lorincz, Mohammad M. Karimi, Steven J. M. Jones. BMC bioinformatics 16.Suppl 11 (2015): S2.

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Credits

http://visrseq.github.io/credits

VisRseq is being developed by Hamid Younesy. Under the supervision of Torsten Möller. And Mohammad M. Karimi. In collaboration with Steven J.M. Jones. Matthew C. Lorincz. And T Michael Underhill. Funding for this work was supported by the following:. NSERC PGS-D scholarship provided to Hamid Younesy. Canadian Epigenetics, Environment and Health Research Consortium (CEEHRC) funded by Canadian Institutes of Health Research (CIHR) and Genome BC (Grant No. EP2-120591).

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bioconductor.org

Bioconductor - Courses and Conferences

http://www.bioconductor.org/help/course-materials

Bioconductor provides training in computational and statistical methods for the analysis of genomic data. You are welcome to use material from previous courses. However, you may not include these in separately published works (articles, books, websites). When using all or parts of the Bioconductor course materials (slides, vignettes, scripts) please cite the authors and refer your audience to the Bioconductor website. Are advertised 6 to 8 weeks in advance. Hypothesis testing, Wolfgang Huber. ChIP-Seq an...

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VisRseq

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