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xby-cellosaurus

Web Tools Updated 2026.09.02

Run the following command in DeepSeek Harness:

dsh plugin install xby-skill/xby-cellosaurus

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install xby-skill/xby-cellosaurus in the DeepSeek Harness terminal to install this plugin; the source repository is available at https://github.com/xby-skill/xby-cellosaurus .

About this plugin

Cell lines underpin oncology, pharmacology, and bioinformatics research, yet the key facts—tissue of origin, associated diseases, official accession numbers, species—live in thousands of records across the SIB Cellosaurus database. Browsing the website manually is slow and error-prone. xby-cellosaurus connects Cellosaurus directly to DeepSeek Harness, letting you query cell-line data through a single natural-language conversation.

The plugin spans the full lookup workflow: Solr-syntax searches combining name, species, disease, and tissue filters; precise accession-based retrievals that return every attribute of a specific line; reverse lookups that list all cell lines linked to a given disease such as hepatoblastoma or leukemia; tissue- or organ-based filtering for liver, lung, breast, and brain origins; and database release metadata including version, date, and record counts. An API key set during chat is persisted automatically, so it survives harness restarts without any re-configuration.

If your work involves cell-line screening, tumour-microenvironment modelling, drug-sensitivity profiling, or single-cell data annotation, and you keep reaching for a browser to confirm a line's provenance, this plugin folds that check into one conversational round so your focus stays on the experiment itself.

Use Cases

  • Filter cell lines by disease name or tissue of origin in seconds
  • Retrieve every attribute of a specific line by its CVCL accession number
  • Verify lineage, species, and disease context before experimental design

Best For

  • Oncology, pharmacology, and tumour-microenvironment modelling researchers
  • Single-cell omics and bioinformatics data analysts
  • Wet-lab scientists who frequently need cell-line provenance details