Sig-Bio-Shiny - 2020 Shiny Contest Submission

Sig-Bio-Shiny

Authors: Sangram Keshari Sahu
Working with Shiny <1 year

Abstract: A Shiny application for Doing Significant Biology on a gene set

Full Description: Significant Biology is an important step of any high-throughput sequence analysis. Once you mapped and/or assembled sequenced reads followed by feature(gene/isoform) quantification and/or differential analysis you will end up with a set of genes. Quickly exploring those genes from different aspect what gives an idea about the Biology they involved in. Here comes this SigBio Shiny application interface. This is a platform where with a set of genes you can do Gene mapping Annotation, Enrichment Analysis of Gene Ontology (GO), KEGG Pathway.

Completely made using R and Bioconductor. No manual database dump required, which make deployment simple with a single R Script. It takes full advantage of AnnotationHub package from Bioconductor to get annotation for the selected organism and do enrichment analysis on top of it using ClusterProfiler. AnnotationHub makes sure you always get the lastest annotation from public databases.


Category: Research
Keywords: Bioinformatics
Shiny app: https://sangram.shinyapps.io/sig-bio-shiny/ (Might crash midway because of 1GB memory)
Repo: https://github.com/sk-sahu/sig-bio-shiny
RStudio Cloud: https://rstudio.cloud/project/1023160 (Works perfectly fine, with the generous help of Rstudio upgraded to 4GB for this project instance)

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