BioPeek ავტორი Oric Labs
View and inspect bioinformatics data files in your browser. Drag-and-drop or right-click to open. 100% client-side.
გაფართოების მონაცემები
ეკრანის სურათები
გაფართოების შესახებ
BioPeek is a browser-based file viewer for bioinformatics researchers. Open common genomics file formats and instantly see their contents — no upload, no server, no install.
HOW IT WORKS
Drag and drop a file onto BioPeek, paste content, or open from a URL. The file is parsed and displayed in your browser using JavaScript and WebAssembly. Everything runs locally.
WHAT IT OPENS
BioPeek reads sequence files, variant files, interval files, feature annotations, and tabular data. It supports gzipped files with automatic decompression. Each format gets a tailored view — sequences show base coloring, quality files show a heatmap, and variant files show a filterable table.
HIGHLIGHTS
BioPeek handles large files by streaming chunks instead of loading everything into memory. You can search for DNA motifs using regex, navigate by genomic coordinates, copy data in multiple formats, and toggle between dark and light themes. Quality scores are visualized as a color gradient so you can spot problems at a glance.
PRIVACY
All file parsing happens entirely in your browser. Your files never leave your device. No data is uploaded, stored, or shared. No analytics, no tracking, no account required.
Report issues: https://github.com/oriclabs/biolang/issues
Built by Oric Labs — https://lang.bio
HOW IT WORKS
Drag and drop a file onto BioPeek, paste content, or open from a URL. The file is parsed and displayed in your browser using JavaScript and WebAssembly. Everything runs locally.
WHAT IT OPENS
BioPeek reads sequence files, variant files, interval files, feature annotations, and tabular data. It supports gzipped files with automatic decompression. Each format gets a tailored view — sequences show base coloring, quality files show a heatmap, and variant files show a filterable table.
HIGHLIGHTS
BioPeek handles large files by streaming chunks instead of loading everything into memory. You can search for DNA motifs using regex, navigate by genomic coordinates, copy data in multiple formats, and toggle between dark and light themes. Quality scores are visualized as a color gradient so you can spot problems at a glance.
PRIVACY
All file parsing happens entirely in your browser. Your files never leave your device. No data is uploaded, stored, or shared. No analytics, no tracking, no account required.
Report issues: https://github.com/oriclabs/biolang/issues
Built by Oric Labs — https://lang.bio
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ნებართვები და მონაცემები
მოთხოვნილი ნებართვები:
- ფაილების ჩამოტვირთვა, ჩამოტვირთვების ისტორიის ნახვა და შეცვლა
აღსარიცხი მონაცემები:
- შემქმნელის თქმით ეს გაფართოება არ საჭიროებს მონაცემთა აღრიცხვას.
დამატებითი მონაცემები
- დამატების ბმულები
- ვერსია
- 1.3.0
- ზომა
- 1,5 მბ
- ბოლო განახლება
- 3 დღის წინ (19 მარ 2026)
- მსგავსი კატეგორიები
- ლიცენზია
- MIT-ლიცენზია
- პირადი მონაცემების დაცვის დებულება
- გაეცანით ამ დამატების პირადულობის დაცვის დებულებას
- ვერსიის ისტორია
- კრებულში დამატება
— no data is uploaded to any server.
v1.3.0: Added NCBI sequence fetch by accession, IUPAC motif search, streaming mode for large files (>10MB), column heatmap toggle, GC%
sliding window plot, k-mer frequency table, and 17 bug fixes including large file stack overflow, light theme colors, and screenshot
improvements.
No account required. No tracking. No analytics.