Half of bioinformatics is file wrangling. An analysis workspace earns its place by reading what instruments and collaborators actually produce. CATO is an AI data analysis and literature review tool for biomedical researchers, built by NYRUS AI.
What loads directly
- Tabular: CSV, TSV, Excel, Parquet, SAS, SPSS, Stata, Feather.
- Genomics: FASTA, FASTQ, VCF, GFF/GTF, BED, GenBank, GMT, Newick, BIOM.
- Single-cell: H5AD, Loom, 10x MTX, HDF5.
- Molecular: PDB, CIF, SDF, MOL, MOL2, SMILES.
- Imaging: NIfTI, DICOM, PNG, JPEG, SVG, WebP.
- Proteomics and cytometry: mzML, MGF, FCS.
- Documents and code: PDF, JSON, SQL, TXT, Markdown, R, Python.
- Plus MATLAB, NumPy, GML, GraphML, and ZIP/TAR archives.
Why it matters
No conversion scripts, no lost metadata, no second tool. Upload what you have and ask your question. You can try CATO at cato.nyrus.ai, or learn more at nyrus.ai/cato.