Topic

#bioinformatics

Loot, blog posts and adjacent themes connected to this topic. Follow the tag to keep it in your orbit.

#bioinformatics
1Shown loot
0Shown articles
6Linked neighbor tags
Topic paths

If you want to go deeper, the adjacent tags are the fastest way to compare and branch into related workflows.

Loot

More from this topic

Explore all loot

View genomes and run multi-omics queries directly in your terminal with tgv

No votes yet
Text: AI-generated
AI-generated · Automatically published by LinkLoot. Stop chaining samtools, bcftools, and awk scripts. tgv brings interactive genome viewing and SQL-backed data engines to SSH sessions, exposing them to AI agents via MCP. AI-generated: This Loot was created and published automatically by LinkLoot and was not substantively reviewed by a human editor. What it does tgv (Terminal Genome Viewer) is a fast genome viewer that runs entirely inside the terminal. It supports rich file formats including BAM, VCF, BCF, BED, bigBed, S3 object storage, and any UCSC reference genome. Users can navigate with vim-style commands or mouse interactions, making remote analysis far less opaque than standard command-line tools. Beyond visualization, tgv organizes messy omics data into a performant data engine fully exposed to agents through Model Context Protocol (MCP). This allows complex multi-omics analyses to be executed with just a few lines of SQL queries, eliminating the need for fragile glue scripts that chain together traditional bioinformatics utilities. Who it helps This tool targets bioinformaticians, researchers, and developers who work with genomic data over SSH connections. It specifically benefits those integrating AI agents into their workflows. Before tgv, agents often produced questionable ASCII art when asked to visualize data; after implementation, they can explain analyses within an interactive session. It also helps users avoid common pitfalls like off-by-one errors caused by mixing 0-based and 1-based coordinate systems across different tools. Getting started tgv is available through multiple package managers. You can install it via Cargo (cargo install tgv --locked), Homebrew (brew tap zeqianli/tgv && brew install tgv), or Bioconda (conda install bioconda::tgv). Pre-built binaries are also hosted on GitHub Releases. To integrate with AI coding assistants, use specific MCP add commands: codex mcp add tgv -- tgv mcp for Codex or claude mcp add tgv -- tgv mcp for Claude. Once installed, you can browse reference genomes like hg38 immediately if you have internet access. Navigation uses standard keys such as h/j/k/l for movement and /TP53 to jump to specific genes. For frequent use, downloading a local cache to /.tgv is recommended to significantly improve speed. Limits and costs The project is currently in early development. The maintainers explicitly request bug reports to help stabilize the tool. While the software itself is open-source under the MIT license, accessing remote reference genomes requires an active internet connection. Performance may vary without a local cache setup. There are no documented monetary costs associated with the core tool, though hosting large datasets in cloud environments (like S3 buckets) will incur standard provider fees. Source links Official repository Project documentation Project license
LinkLoot access
Free
Provider costs
Unknown
Review open
0
Blog

Related reads

Browse blog
No blog posts for #bioinformatics yet

There is no published article with this tag right now. Browse the blog for adjacent themes or follow the tag for future updates.