> For the complete documentation index, see [llms.txt](https://docs.kernel.asimov.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kernel.asimov.com/getting-started/readme.md).

# Welcome to Kernel

Learn about Kernel, software for engineering biology.

Kernel is Asimov's genetic design platform for engineering biology. It combines sequence design tools, team collaboration features, and workflow automation to accelerate the development of biotechnologies.

![Kernel Dashboard](https://847574487-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fb7pobj6kSB8KqNTnXBtj%2Fuploads%2Fgit-blob-bdbce1b49547b950944ca98fc2274bf1ffde6adc%2Fdashboard.png?alt=media)

## Core Capabilities

### Predictive Models

Kernel includes powerful models to accelerate your design process:

* **Genetic Simulation** — Predict RNA polymerase flux, ribosome flux, and protein concentrations for your constructs
* **Compiler** — Automatically design expression vectors from antibody sequences using AI-powered codon optimization, signal peptide prediction, and expert design rules

### Genetic Design Tools

* Design genetic constructs using an intuitive, parts-based approach
* View designs in multiple formats: linear sequence, circular map, and interactive schematic
* Access integrated tools including codon optimization, biosecurity sequence analysis, and genetic simulation
* Leverage AI-assisted design support with Kernel AI

### Collaborative Workspaces

* Create team workspaces where members can collaborate on projects
* Manage construct designs, genetic parts, and notebooks in repositories with granular permissions
* Share constructs, parts, and protocols securely within and across teams
* Access public repositories:
  * Asimov Public — curated genetic parts
  * UniProt Swiss-Prot — protein sequences
  * Addgene — plasmid repository

### Automated Workflows

* Generate expression vectors automatically with the configurable genetic Compiler
* Import sequences with automatic part annotation mapping
* Run genetic simulations to predict expression behavior
* Track samples and experiments with the integrated inventory system

### Documentation & Knowledge Management

* Document experiments in electronic lab notebooks
* Create and share standardized protocols
* Link documentation, data, and images directly to sequence designs
* Search across all workspace content

## Getting Started

Ready to begin? Check out our [Quick Start Guide](/getting-started/quick-start.md) to create your first workspace and start designing.

## Documentation Overview

| Section                                                                 | Description                             |
| ----------------------------------------------------------------------- | --------------------------------------- |
| [Getting Started](/getting-started/quick-start.md)                      | Quick start, core concepts, UI overview |
| [Workspaces](/workspaces-and-collaboration/creating-a-workspace.md)     | Team collaboration and permissions      |
| [Repositories](/repositories-and-organization/creating-repositories.md) | Organizing your work                    |
| [Parts](/parts/what-is-a-part.md)                                       | Reusable genetic elements               |
| [Constructs](/constructs/what-is-a-construct.md)                        | Designing genetic sequences             |
| [Sequence Tools](/sequence-tools/sequence-viewer.md)                    | Sequence analysis and optimization      |
| [Compiler & Simulation](/compiler-and-simulation/compiler.md)           | Automated design and predictions        |
| [Inventory](/inventory/overview.md)                                     | Physical sample tracking                |
| [Tools](/tools/blast.md)                                                | BLAST, SecureDNA, export                |
| [Kernel AI](/kernel-ai/using-kernel-ai.md)                              | AI assistance                           |

## Need Help?

* Browse this documentation
* Use [Kernel AI](/kernel-ai/using-kernel-ai.md) for guidance
* Contact us at <kernel-support@asimov.com>
