Calis-p (The CALgary approach to ISotopes in proteomics) is a java application to estimate isotopic composition (e.g. delta13C or delta15N) of individual species in a microbial community from a proteomic dataset. Calis-p 2.0 handles both natural isotope abundances and data from labelling experiments such as stable isotope probing (SIP). It requires a mzIdent (or target spectrum match) and mzML files as the input and requires about 1 min per mzML file with 10 threads and needs <10 Gb of RAM. It has been tested with data from various nano liquid chromatography/Orbitrap platforms. For successful SIP, it is extremely sensitive, but requires the 13C fraction to remain below 10%.

A newer version is available at github and we strongly recommend to try it out: https://github.com/kinestetika/Calisp.

Features

  • delta13C is estimated from a standard metaproteomic dataset
  • Efficently and reliably obtain delta13C for many species in a microbiome samples.

Project Samples

Project Activity

See All Activity >

Categories

Bio-Informatics

License

Academic Free License (AFL)

Follow Calis-p

Calis-p Web Site

Other Useful Business Software
Go From AI Idea to AI App Fast Icon
Go From AI Idea to AI App Fast

One platform to build, fine-tune, and deploy ML models. No MLOps team required.

Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Calis-p!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Registered

2017-04-24