Biotextgraph: graphical summarization of functional similarities from textual information.

ABSTRACT:

Summary

Functional interpretation of biological entities such as differentially expressed genes is one of the fundamental analyses in bioinformatics. The task can be addressed by using biological pathway databases with enrichment analysis (EA). However, textual description of biological entities in public databases is less explored and integrated in existing tools and it has a potential to reveal new mechanisms. Here, we present a new R package biotextgraph for graphical summarization of omics' textual description data which enables assessment of functional similarities of the lists of biological entities. We illustrate application examples of annotating gene identifiers in addition to EA. The results suggest that the visualization based on words and inspection of biological entiti

SUBMITTER: Sato N 

PROVIDER: S-EPMC11198732 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature