
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.
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.
Protein Stability, Host-Pathogen Interactions, Proteolysis, Molecular Sequence Annotation/classification, Proteomics/methods
Protein Stability, Host-Pathogen Interactions, Proteolysis, Molecular Sequence Annotation/classification, Proteomics/methods
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
