User profiles for "author:Barsnes H"
Harald BarsnesProfessor, University of Bergen Verified email at uib.no Cited by 5611 |
Anatomy and evolution of database search engines—a central component of mass spectrometry based proteomic workflows
K Verheggen, H Ræder, FS Berven… - Mass spectrometry …, 2020 - Wiley Online Library
Sequence database search engines are bioinformatics algorithms that identify peptides from
tandem mass spectra using a reference protein sequence database. Two decades of …
tandem mass spectra using a reference protein sequence database. Two decades of …
Exploring the potential of public proteomics data
In a global effort for scientific transparency, it has become feasible and good practice to
share experimental data supporting novel findings. Consequently, the amount of publicly …
share experimental data supporting novel findings. Consequently, the amount of publicly …
BioContainers: an open-source and community-driven framework for software standardization
Motivation BioContainers (biocontainers. pro) is an open-source and community-driven
framework which provides platform independent executable environments for bioinformatics …
framework which provides platform independent executable environments for bioinformatics …
PeptideShaker enables reanalysis of MS-derived proteomics data sets
Figure 1 PeptideShaker data-analysis cycle.(a) Data generated in-house or publicly
available from PRIDE can be used as input.(b) The sequence database is selected in …
available from PRIDE can be used as input.(b) The sequence database is selected in …
SearchGUI: an open‐source graphical user interface for simultaneous OMSSA and X! Tandem searches
The identification of proteins by mass spectrometry is a standard technique in the field of
proteomics, relying on search engines to perform the identifications of the acquired spectra …
proteomics, relying on search engines to perform the identifications of the acquired spectra …
Machine learning applications in proteomics research: How the past can boost the future
Machine learning is a subdiscipline within artificial intelligence that focuses on algorithms
that allow computers to learn solving a (complex) problem from existing data. This ability can …
that allow computers to learn solving a (complex) problem from existing data. This ability can …
ThermoRawFileParser: modular, scalable, and cross-platform RAW file conversion
N Hulstaert, J Shofstahl, T Sachsenberg… - Journal of proteome …, 2020 - ACS Publications
The field of computational proteomics is approaching the big data age, driven both by a
continuous growth in the number of samples analyzed per experiment as well as by the …
continuous growth in the number of samples analyzed per experiment as well as by the …
SearchGUI: a highly adaptable common interface for proteomics search and de novo engines
Mass-spectrometry-based proteomics has become the standard approach for identifying and
quantifying proteins. A vital step consists of analyzing experimentally generated mass …
quantifying proteins. A vital step consists of analyzing experimentally generated mass …
In-depth characterization of the cerebrospinal fluid (CSF) proteome displayed through the CSF proteome resource (CSF-PR)
In this study, the human cerebrospinal fluid (CSF) proteome was mapped using three
different strategies prior to Orbitrap LC-MS/MS analysis: SDS-PAGE and mixed mode …
different strategies prior to Orbitrap LC-MS/MS analysis: SDS-PAGE and mixed mode …
The proteomics identifications database: 2010 update
JA Vizcaíno, R Coˆte, F Reisinger… - Nucleic acids …, 2010 - academic.oup.com
ABSTRACT The Proteomics Identifications database (PRIDE, http://www. ebi. ac. uk/pride) at
the European Bioinformatics Institute has become one of the main repositories of mass …
the European Bioinformatics Institute has become one of the main repositories of mass …