Predictive Phenomics Host-Pathogen Limited Proteolysis Proteomics Analysis Workflow
Description
The Viral Experiment LiP Analysis Workflow is an adaptable user-friendly computational notebook for analyzing host-pathogen proteomic datasets using Limited Proteolysis (LiP) standardized experimental sampling methods. This analysis workflow is a supplement to the published dataset collection "Human Host Cellular Response to HCoV-229E Infection Multi-Omics (ACS-JM-DP2)" evaluating the human host cellular response to wild-type Human coronavirus strain 229E (HCoV-229E) infection. See Related works and Technical info note below for more information.
Reference Input Files
- Host Sequence Annotation Collection (.FASTA) - Homo sapiens (Human) [UniProt Proteome ID: UP000005640] (version: 20,383 gene entries)
- Processed Datasets (.txt) - A549, MRC5, and primary HAE cell MaxQuant (v.1.6.17.0) peptide and proteinGroups processed raw dataset results files
Funding Acknowledgments
The source code described here was funded by the Predictive Phenomics Science & Technology Initiative, conducted under the Laboratory Directed Research and Development Program, at Pacific Northwest National Laboratory (PNNL). PNNL is a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy Office of Science under Contract No. DE-AC05-76RL0183.
Technical info (En)
Requirements for Reuse
- User must specify the search software used to generate the input file in addition to the path of the input and output files.
- Current workflow only supports reference input files generated by MaxQuant and MSFragger search software outputs.
- User must provide a sequence collection annotation file (.FASTA) and corresponding parameters.
Files
Viral-Experiment-LiP-Analysis-main.zip
Files
(34.1 kB)
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Additional details
Additional titles
- Alternative title (En)
- Viral Experiment LiP Analysis Workflow
Related works
- Is cited by
- Journal article: 10.1021/acs.jproteome.5c00400 (DOI)
- Is supplement to
- Dataset: 10.25584/PPI/2475744 (DOI)
- Requires
- Annotation collection: https://bioregistry.io/uniprot.proteome:UP000005640 (URL)
Software
- Repository URL
- https://github.com/PNNL-Predictive-Phenomics/Viral-Experiment-LiP-Analysis
- Programming language
- Jupyter Notebook , Python
- Development Status
- Active