Back to search

Article

APIR: Aggregating Universal Proteomics Database Search Algorithms for Peptide Identification with FDR Control

2021-09-10

Abstract excerpt

Advances in mass spectrometry (MS) have enabled high-throughput analysis of proteomes in biological systems. The state-of-the-art MS data analysis relies on database search algorithms to quantify proteins by identifying peptide-spectrum matches (PSMs), which convert mass spectra to peptide sequences. Different database search algorithms use distinct search strategies and thus may identify unique PSMs. However, no...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f98917c9-7127-554a-9498-10a1f22e73e2
DOI
10.1101/2021.09.08.459494
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
APIR: Aggregating Universal Proteomics Database Search Algorithms for Peptide Identification with FDR ControlDOI 10.1101/2021.09.08.459494
Select a neighboring publication to make it the new centre.