II.
LibraryProcess overview
Reference · livelib-process:bioinformatics--ms-proteomics-pipeline
ms-proteomics-pipeline overview
Mass Spectrometry Proteomics Pipeline - Comprehensive pipeline for processing and analyzing mass spectrometry-based proteomics data including protein identification, quantification, and statistical analysis.
Attributes
displayName
ms-proteomics-pipeline
description
Mass Spectrometry Proteomics Pipeline - Comprehensive pipeline for processing and
analyzing mass spectrometry-based proteomics data including protein identification, quantification,
and statistical analysis.
libraryPath
library/specializations/domains/science/bioinformatics/ms-proteomics-pipeline.js
specialization
bioinformatics
references
- - MaxQuant: https://www.maxquant.org/ - MSFragger: https://msfragger.nesvilab.org/ - Perseus: https://maxquant.net/perseus/ - Proteomics Standards Initiative: http://www.psidev.info/
example
const result = await orchestrate('specializations/domains/science/bioinformatics/ms-proteomics-pipeline', {
projectName: 'Proteome Profiling Study',
rawFiles: ['/data/sample1.raw', '/data/sample2.raw'],
database: 'UniProt_Human',
quantMethod: 'LFQ'
});
usesAgents
- general-purpose
Outgoing edges
lib_applies_to_domain1
- domain:bioinformatics·DomainBioinformatics
lib_belongs_to_specialization2
- specialization:biomedical-informatics·SpecializationBiomedical Informatics
- specialization:bioinformatics·SpecializationBioinformatics
lib_implements_workflow1
- workflow:experiment-design·WorkflowExperiment Design
lib_involves_role2
- role:research-engineer·RoleResearch Engineer
- role:biomedical-engineer·RoleBiomedical Engineer
lib_requires_skill_area3
- skill-area:data-analysis·SkillAreaData Analysis
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
Incoming edges
None.