Acronym Finder
Look up a medical acronym or reverse-search a long form, then rate the candidate mappings.
Legacy Bioinformatics Toolkit
A compact Text2Knowledge archive for biomedical acronym discovery, gene and protein lookup, taxonomy browsing, and lightweight text annotation built around Medline, GenBank, OMIM, and related reference data.
What It Is
This site preserves the original Text2Knowledge bioinformatics tools: fast lookup workflows for medical acronyms, gene and protein names, taxonomy records, literature signals, and text annotation.
It also provides context for the newer Text2Knowledge ontology platform, which carries the same text-to-structure idea into a broader setting. Instead of stopping at retrieval, that newer work focuses on organizing complex language from clinical notes, research documents, policies, and conversations into navigable knowledge models.
Together the two sites show the arc of the project: this archive remains a practical legacy toolkit for biomedical exploration, while the newer platform extends the concept toward editable ontologies, provenance-aware relationships, and queryable knowledge.
Core Tools
Look up a medical acronym or reverse-search a long form, then rate the candidate mappings.
Retrieve gene and protein interaction statements extracted from literature and ranked by confidence.
Search a gene symbol and retrieve synonyms, accessions, taxonomy IDs, and linked phenotype identifiers.
Traverse the same gene index with a broader query surface, including synonym expansion and accession mapping.
Paste text and label detected genes with taxonomy and accession context, with precision and recall controls.
An archival placeholder for GO term exploration and clustering work that never fully shipped.
Data Sources
The tools combine automatically extracted data with limited curated input. Expect uneven coverage, but quick, useful recall for exploratory work.
Support
Use the Text2Knowledge help and FAQ for workflow notes, visit the project contact page for archive details, or explore the Text2Knowledge ontology studio to see how the broader effort has evolved beyond legacy search tools.