secat
importedsoftware/secat
Size-Exclusion Chromatography Algorithmic Toolkit
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0, BSD-3-Clause(mixed)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/grosenberger/secat
- Documentation
- unknown
- Tags
- data-independent-acquisition · machine-learning · mass-spectrometry · proteomics · signal-processing · size-exclusion-chromatography · swath-ms
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- pyprophetdata-independent-acquisition · mass-spectrometry · proteomics · swath-ms
PyProphet: Semi-supervised learning and scoring of OpenSWATH results.
- Avant_gardedata-independent-acquisition · mass-spectrometry · proteomics
Avant-garde (AvG) is a new tool to refine Data-Independent Acquisition (and Parallel Reaction Monitoring) by removing interfered transitions, adjusting integration boundaries and scoring peaks to…
- Carafedata-independent-acquisition · mass-spectrometry · proteomics
High quality in silico spectral library generation for data-independent acquisition proteomics
- manuscript-qc-system-suitabilitydata-independent-acquisition · mass-spectrometry · proteomics
This repository is associated with a peer-reviewed article in the Journal of Proteome Research describing the MacCoss laboratory's quality control measures for sample preparation, system…
- nettledata-independent-acquisition · mass-spectrometry · proteomics
Nettle is an RT imputation method for MS proteomics
- rustimsdata-independent-acquisition · mass-spectrometry · proteomics
A Framework for IMS-MS Raw Data Processing written in Rust and Python.
- api.github.com/repos/grosenberger/secatretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2023-10-17, 6 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as Apache-2.0, BSD-3-Clause, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/39.json→ .entries["secat"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.