Biotext
Biotext converts unstructured natural language text into structured representations of amino acid and DNA sequences to enable integration with bioinformatics tools such as BLAST.
Key Features:
- Text-to-Biological Data Conversion: Transforms natural language text into representations analogous to amino acid and DNA sequences for downstream bioinformatics analyses.
- Standardized Protocol: Implements a 12-step protocol that can be executed or modified to systematically process textual data into bioinformatics-compatible formats.
- Encoding and Decoding Functions: Provides functions to encode and decode arbitrary textual information, including biological sequence headings from BLAST surveys, into and out of sequence-like formats.
Scientific Applications:
- Bioinformatics Research: Integrates textual data with sequence databases to expand sources for sequence analysis.
- Genomics and Proteomics: Assists annotation and interpretation of genomic and proteomic data by converting literature-derived information into sequence-compatible formats.
- Data Mining and Informatics: Supports large-scale data mining by converting unstructured text into structured biological datasets suitable for computational analysis.
Methodology:
A documented 12-step computational protocol encodes arbitrary information from sources such as biological sequence headings into formats compatible with bioinformatics tools like BLAST.
Topics
Details
- Tool Type:
- desktop application, library
- Operating Systems:
- Linux, Windows
- Programming Languages:
- Python
- Added:
- 6/14/2021
- Last Updated:
- 8/18/2021
Operations
Publications
de Jesus Soares Machado D, De Pierri CR, Santos LGC, Scapin L, da Silva Filho AC, Perico CP, de Oliveira Pedrosa F, Raittz RT. Biotext: Exploiting Biological-Text Format for Text Mining. Unknown Journal. 2021. doi:10.1101/2021.04.08.439078.