DeepMicrobes

Deep learning-based computational framework for taxonomic classification of metagenomic data, allowing researchers to bypass the limitation of a well-curated taxonomic tree for newly discovered species.

About DeepMicrobes

Deep learning-based computational framework for taxonomic classification of metagenomic data, allowing researchers to bypass the limitation of a well-curated taxonomic tree for newly discovered species.

Products

  • DeepMicrobes

    Scientific Models

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    Deep learning-based computational framework for taxonomic classification for metagenomics with deep learning.

What customers say

“GitHub Copilot will bring huge benefits to our engineering teams by reducing the amount of time spent on boilerplate code, keeping the teams in their flow state, allowing them to ship high-quality products to market faster.”
Santosh Lolyeker VP, Engineering Fellow @ VeritasDeepMicrobes customer
“At Uber, we continuously strive to improve our developer experience. We migrated code hosting and review to GitHub and are adopting GitHub Copilot to boost overall developer productivity.”
Ali-Reza Adl-Tabatabai Senior Director of Engineering @ UberDeepMicrobes customer

Security and compliance

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Latest updates from DeepMicrobes

New feature

Claude Opus 5 Model Integrated into GitHub Copilot

Anthropic's Claude Opus 5 model is now available within GitHub Copilot. The model is specifically optimized for complex, long-running coding tasks such as autonomous code changes and regression verification. It features enhanced safeguards for high-harm cyber content. The update is available to users on Copilot Pro+, Max, Business, and Enterprise plans across various interfaces, including VS Code and the Copilot CLI. Access for business customers requires administrative enablement of the new model policy.

MentionedAnthropic
New feature

GitHub Mobile Adds Copilot-Powered Fixes for Actions Failures

GitHub Mobile users can now use the Copilot coding agent to investigate and fix failing GitHub Actions checks directly from their mobile devices on iOS and Android. Upon encountering a failed check, users can select 'Fix with Copilot,' which prompts the agent to analyze the failure, implement a fix in a new pull request, and request a review before merging. This feature aims to streamline CI failure responses while away from a desktop environment.

Product launch

GitHub MCP Server Update Supports New Stateless Specification

The GitHub MCP (Model Context Protocol) Server has been updated to support the upcoming stateless MCP specification ahead of its official July 28, 2026 release. Improvements include the removal of Redis sessions for better performance, the mitigation of deep packet inspection by utilizing HTTP headers, and updated elicitation implementations. The server ensures ongoing support for AI-assisted development tools while maintaining backwards compatibility with existing tier 1 SDKs.

New featurePartnership

General Availability of Copilot Cloud Agent for Linear

The Copilot cloud agent for Linear is now generally available, allowing users to assign Linear issues directly to an autonomous AI agent. When assigned, the agent analyzes content, creates draft pull requests in ephemeral GitHub Actions environments, and provides progress updates within Linear. The integration supports model selection, custom agents, and branch management, enabling automated workflows from task assignment to pull request review. Users can install the GitHub Copilot for Linear app via the GitHub Marketplace.

IntegrationLinear