# CodAn

> software

**Wikidata**: [Q113308813](https://www.wikidata.org/wiki/Q113308813)  
**Source**: https://4ort.xyz/entity/codan-q113308813

## Summary
CodAn is a software application designed to provide predictive models for the precise identification of coding regions in eukaryotic transcripts. Developed by Pedro Gabriel Nachtigall and written in Python, the tool is released as open-source software under the GNU General Public License v3.0.

## Key Facts
- **Full Name:** CodAn
- **Primary Function:** Identification of coding regions in eukaryotic transcripts
- **Developer:** Pedro Gabriel Nachtigall
- **Programming Language:** Python
- **License:** GNU General Public License, version 3.0
- **Source Code Repository:** [github.com/pedronachtigall/CodAn](https://github.com/pedronachtigall/CodAn)
- **Latest Version:** 1.2 (released June 8, 2021)
- **Initial Release:** Version 1.0 (released September 9, 2019)
- **Software Class:** Application (software program designed for end-users)
- **Copyright Status:** Copyrighted

## FAQs
### Q: What is the primary purpose of CodAn?
A: CodAn is used to identify coding regions within eukaryotic transcripts using predictive models. It functions as a bioinformatics tool for genomic analysis.

### Q: Under what license is CodAn distributed?
A: The software is distributed under the GNU General Public License, version 3.0 (GPLv3), allowing for open-source usage and modification.

### Q: Who developed and maintains CodAn?
A: The software was developed by Pedro Gabriel Nachtigall, who is also listed as the current maintainer of the project.

### Q: When was the most recent version of CodAn released?
A: The most recent preferred version is 1.2, which was released on June 8, 2021.

## Why It Matters
CodAn addresses a specific need in the field of bioinformatics: the accurate identification of Coding DNA Sequences (CDS) within eukaryotic transcripts. Identifying these regions is a critical step in genome annotation and gene prediction, allowing researchers to distinguish between coding and non-coding sections of RNA.

By implementing predictive models, CodAn automates a process that is essential for understanding gene structure and function. The tool's availability as a Python-based application under an open-source license (GPL v3.0) ensures that it is accessible to the scientific community for validation, modification, and integration into larger analysis pipelines. Its continued maintenance, evidenced by updates through 2021, highlights its relevance as a utility for researchers working with transcriptomic data.

## Notable For
- **Specialized Utility:** Specifically targets the identification of coding regions in eukaryotic transcripts.
- **Open Source Accessibility:** Available under the GNU General Public License v3.0, promoting transparency and reuse.
- **Python Implementation:** Built using Python, a standard language in bioinformatics, facilitating integration with other scientific libraries.
- **Active Development History:** Features a clear release history from its initial launch in 2019 to its latest update in 2021.
- **Academic Integration:** Associated with the academic source "CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts."

## Body

### Development and Maintenance
CodAn was created by Pedro Gabriel Nachtigall, who serves as both the developer and the maintainer of the software. The project is hosted on GitHub, where the source code and release history are managed. The repository is publicly accessible, reflecting the open-source nature of the project.

### Release History
The software has undergone several iterations since its inception. The release timeline based on verifiable data includes:

- **Version 1.0:** Released on September 9, 2019. This was the initial public release of the software.
- **Version 1.1:** Released on June 2, 2021.
- **Version 1.2:** Released on June 8, 2021. This version is marked as the "preferred" release in the project's metadata.

### Technical Specifications
CodAn is classified as a software application intended for end-users. It is written in the Python programming language, a common choice for data-intensive bioinformatics applications.

- **License:** The project utilizes the GNU General Public License, version 3.0. This ensures that the software remains free to use, study, and modify, provided that derivative works adhere to the same licensing terms.
- **Repository:** The codebase is available at `https://github.com/pedronachtigall/CodAn`.
- **Methodology:** The software employs predictive models to achieve its primary objective of identifying coding regions. The methodology is described in the associated publication "CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts."

## References

1. [Release 1.0. 2019](https://github.com/pedronachtigall/CodAn/releases/tag/v1.0)
2. [Release 1.1. 2021](https://github.com/pedronachtigall/CodAn/releases/tag/v1.1)
3. [Release 1.2. 2021](https://github.com/pedronachtigall/CodAn/releases/tag/v1.2)