yeastnet - Browse /daaaaave at SourceForge.net

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
readme.txt	2014-05-19	62 Bytes	0
Totals: 1 Item		62 Bytes	0

Source moved to https://github.com/u003f/daaaaave

19 May 2014

Source: readme.txt, updated 2014-05-19

Other Useful Business Software

Demo Series - Small Business Backup By Veeam

Learn how to protect your Microsoft 365 data, with simple, actionable tips today.

Watch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.

Watch Demo Series

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.

Start Free

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Start Free

Recommended Projects

ReCombine
A package of programs for analysis of meiosis in yeast.
PeptideGI
This project is used to predict Genetic Interactions from poly peptide of yeast proteins.
CHO.net
CHO.net is a community-driven reconstruction of the Chinese Hamster Ovary metabolic network.
Berry_et_al
Software used to quantitate fluorescent signals in yeast. The software includes a script for the Volocity image analysis software (Perkin Elmer, USA) and also a script for ImageJ package.
EpiTopoFold
Here, we developed a topology-driven scaffold design model, EpiTopoFold, that systematically explores protein secondary-structure arrangements to identify optimal scaffolds for discontinuous epitope segments. Citation: Ma, Y.F., Yin, G.H., Pan, Y., and Liu, Y. (2026). Intelligent antigen design combined with yeast display enhances targeted immune responses. Briefings in Bioinformatics 27, bbag393.

yeastnet Files