# predicTCR

- **Website:** <https://predictcr.com>
- **Primary alias:** `predictcr.com`

## Description

Designed for users working with this type of biological data, the platform provides an online way to access its prediction offering. The site includes account registration and login, along with a “My samples” area, indicating that users can manage sample-related work through the service. predicTCR v2 is identified as a beta version. Its development draws on code from the DKFZ, and the service was developed by Heidelberg University’s Scientific Software Center. The website points readers to a publication in Nature Biotechnology for further information about the underlying work. It welcomes questions and feedback at predictcr@dkfz.de, and provides contact and legal information. predicTCR v2 is therefore presented as a specialized scientific software service rather than a general consumer product, supporting research into tumor-reactive immune cells and their receptors using scRNA-seq data.

## Industries

- 🧪 Science and Education
- 🧪 Biology _(under Science and Education)_
- ⛑ Health
- ⛑ Biotechnology and Pharmaceuticals _(under Health)_

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idUeEtPFvK/w/256/h/256/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791391706786)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Firefly | #0d2227 | accent |
| Black | #000000 | dark |
| White | #ffffff | light |

## Fonts

- monospace — asset _(custom)_

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_Source: <https://brandfetch.com/predictcr.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._