isobar

Isobar is a software tool that quantitatively compares protein content in biological samples. The tool is designed to utilize TMT and iTRAQ isobaric labeling technologies, which allow comparison of 2, 4, 6, or 8 samples in a single mass spectrometric analysis.

One of the essential features of this software tool is its ability to use robust statistical methods to capture variability from individual spectra to biological samples. These statistical methods help ensure that the analysis results are reliable and accurate. Additionally, Isobar integrates classical experimental designs with a distinct sample in each channel as well as the use of replicates in multiple channels into a single statistical framework. This integration helps make the software more efficient and easier for researchers.

Isobar has been thoroughly tested on complex samples, including controlled ratios ranging from 100:1 to 1:100, to characterize its performance. Its application has been demonstrated on biological data sets from three different laboratories and MS platforms. This demonstrates the software's versatility and applicability in real-world scenarios.

The software is also equipped to read Mascot, Phenyx, and mzIdentML files, making it more convenient for researchers using these file formats. Furthermore, Isobar can be used as an independent software that requires very little or no R programming skills.

Topic

Proteomics;Proteomics experiment;Statistics and probability;Protein modifications

Detail

  • Operation: TMT-tag;PTM localisation;Protein quantification;Statistical calculation;Standardisation and normalisation;iTRAQ;Labeled quantification

  • Software interface: Command-line user interface

  • Language: R

  • License: GNU Lesser General Public License v2

  • Cost: Free

  • Version name: 1.7.6

  • Credit: -

  • Input: -

  • Output: -

  • Contact: Florian P Breitwieser florian.bw@gmail.com

  • Collection: -

  • Maturity: Stable

Publications

  • General statistical modeling of data from protein relative expression isobaric tags.
  • Breitwieser FP, et al. General statistical modeling of data from protein relative expression isobaric tags. General statistical modeling of data from protein relative expression isobaric tags. 2011; 10:2758-66. doi: 10.1021/pr1012784
  • https://doi.org/10.1021/pr1012784
  • PMID: 21526793
  • PMC: -

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