Tool stats & trends
Looking to identify usage trends or leading experts?
|Alternative name||Peptide intensity-weighted proteome abundance similarity correction|
|Interface||Command line interface|
|Restrictions to use||None|
|License||BSD 2-clause “Simplified” License|
No version available
- person_outline Bernhard Renard
Publication for Peptide intensity-weighted proteome abundance similarity correction
Metaproteomic analysis of human gut microbiota: where are we heading?
[…] -MS/MS) is particularly useful to reduce sample complexity and improve protein identification. The final and fairly demanding stage for metaproteomics is data analysis. Several software tools such as Pipasic , MetaProteomeAnalyzer  and Unipept  have been developed to facilitate metaproteomic data analysis. One of the key elements for a successful metaproteomic study is the availability of a […]
Soil and leaf litter metaproteomics—a brief guideline from sampling to understanding
[…] e reduced to the lowest common anchor (LCA) (Fig. ). The Unipept web application provides a robust LCA approach considering all occurrences of identified tryptic peptides in UniprotKB. Alternatively, Pipasic estimates the peptide level similarity between reference proteomes allowing differentiation on strain level. The PROPHANE web service provides a combined fully automated workflow for both (i) […]
Accelerating precision biology and medicine with computational biology and bioinformatics
[…] s a role in disease diagnoses but is limited by the presence of highly similar protein sequences among related organisms. Bernhard Renard (Robert Koch Institute, Germany) presented an algorithm named Pipasic that corrects peptide proteome abundance after modeling the aggregated abundance by similar protein sequences. He demonstrated more-accurate quantification of peptides for mixed species in com […]
Looking to check out a full list of citations?
Be the first to review Pipasic