BioGist icon

BioGist

by Oric Labs · lang.bio · Developer Tools
Manifest V3 Free
View in Chrome Web Store Data as of 16 Oct 2026

Get the biological gist of any research paper. Auto-detects genes, variants, and datasets on any webpage.

Users
5
−1 in 30 days
Rating
0.0 / 5
unchanged in 30 days
Ratings
0
0 in 30 days
Store rank
#251K
#210K among extensions
Version
1.1.0
updated 31 Mar 2026

Users

monthly, 7 months
036Mar 2026Jul 2026Oct 2026
Latest, 16 Oct 2026: 5 usersMove the mouse over the chart for any month

Ratings count

monthly, 7 months
001Mar 2026Jul 2026Oct 2026
Latest, 16 Oct 2026: 0 ratingsMove the mouse over the chart for any month

The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.

About BioGist

BioGist is a research sidebar that scans any webpage for biological entities and provides instant context — no uploads, no server, no account. HOW IT WORKS Visit a paper on PubMed, bioRxiv, Nature, or any scientific website. Open the sidebar and click Scan. BioGist detects 18 types of biological entities on the page. Click any entity for details, database links, and related papers from PubMed. WHAT IT DETECTS BioGist recognizes 18 types of biological entities on any webpage, including genes, variants, drugs, species, and clinical trials. Gene detection uses the full HGNC set of 44,959 human gene symbols for accurate matching with false-positive filtering. DETAIL PANELS Click any detected entity to see rich details from public databases — gene summaries, variant frequencies, clinical significance, citation counts, and open access links. Export citations in APA, Vancouver, Harvard, BibTeX, or RIS format. INLINE PUBMED SEARCH Click "Find Related Papers" in any entity detail to see the top 5 PubMed results directly in the sidebar — titles, authors, journal, and year — without leaving the page. DATABASE LINKS Every entity links out to relevant public databases for deeper exploration. The extension connects to established bioinformatics resources when you click an entity for details. RESEARCH TOOLS - Compare two papers side by side to see shared and unique entities - Co-occurrence matrix showing which entity types appear together across tabs - Persistent entity history with search and type filter across sessions - Batch scan up to 20 URLs at once - Personal annotation notes on any entity - Export as plain text, JSON, Markdown, CSV, or BibTeX with scope and type filters ADDITIONAL FEATURES - Adaptive toolbar that collapses into a menu on narrow sidebars - Multi-tab scanning with per-tab result storage - Pin important entities across sessions - Keyboard shortcuts for sidebar toggle and scan - Right-click context menu for quick lookups - Paste button for scanning text from PDFs - Entity type toggles to show or hide any of the 18 types - Light and dark themes - 24-hour local caching of API results PRIVACY All entity detection runs locally in your browser. No page content is uploaded anywhere. The extension only contacts public bioinformatics APIs when you click an entity to view details. No analytics, no tracking, no account required. Report issues: https://github.com/oriclabs/biolang/issues Built by ORIC Labs — https://oriclabs.com

Growth

WindowUsersChangeRatingsRating
7 days−2−28.6%00.00
30 days−1−16.7%00.00
6 months+3+150.0%00.00

Version history

1 versions recorded
1.1.031 Mar 2026

Details

Category
Developer Tools
First seen
31 Mar 2026
Size
981 KB
Languages
en
Pricing
Free
Privacy policy
lang.bio
Extension ID
degdkeiicghnkmgocjkpafjijacgeomd

Permissions and risk

Moderate riskimpact 2, likelihood 2
Permissions
activeTabsidePanelstoragecontextMenusscriptingtabswebNavigation

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