Harald Barsnes

Automatic Selection of Search Parameter Values for Mass Spectrometry-Based Search Engines
20260 citationsauthor #3
A graph-based approach for modification site assignment in proteomics
20250 citationsauthor #3
Natalizumab promotes anti-inflammatory and repair effects in multiple sclerosis
20245 citationsauthor #6
Automated splitting into batches for observational biomedical studies with sequential processing
20220 citationsauthor #3
Extending protein interaction networks using proteoforms and small molecules
20223 citationsauthor #6
Cuprizone and EAE mouse frontal cortex proteomics revealed proteins altered in multiple sclerosis
202124 citationsauthor #5
PeptideShaker Online: A User-Friendly Web-Based Framework for the Identification of Mass Spectrometry-Based Proteomics Data
202112 citationsauthor #4
Development of robust targeted proteomics assays for cerebrospinal fluid biomarkers in multiple sclerosis
202010 citationsauthor #6
Leptin Receptor Signaling Regulates Protein Synthesis Pathways and Neuronal Differentiation in Pluripotent Stem Cells
20204 citationsauthor #7
Connecting MetaProteomeAnalyzer and PeptideShaker to Unipept for seamless end-to-end metaproteomics data analysis.
202012 citationsauthor #4
Anatomy and evolution of database search engines-a central component of mass spectrometry based proteomic workflows.
2020113 citationsauthor #5
Development of robust targeted proteomics assays for cerebrospinal fluid biomarkers in multiple sclerosis
20200 citationsauthor #6
Importance of Block Randomization When Designing Proteomics Experiments
202044 citationsauthor #3
Essential Features and Use Cases of the Cerebrospinal Fluid Proteome Resource (CSF-PR).
20190 citationsauthor #5
Dynamic proteome profiling of human pluripotent stem cell‐derived pancreatic progenitors
20199 citationsauthor #10
ThermoRawFileParser: modular, scalable and cross-platform RAW file conversion
2019210 citationsauthor #4
Proteomics Standards Initiative Extended FASTA Format (PEFF)
201928 citationsauthor #4
Detecting single amino acids and small peptides by combining isobaric tags and peptidomics
20191 citationsauthor #4
Ann C
20191 citationsauthor #6
Analyzing the Structure of Pathways and Its Influence on the Interpretation of Biomedical Proteomics Data Sets.
20182 citationsauthor #4
PathwayMatcher: multi-omics pathway mapping and proteoform network generation
20180 citationsauthor #8
SearchGUI: A Highly Adaptable Common Interface for Proteomics Search and de Novo Engines.
2018171 citationsauthor #1
Analysing the structure of pathways and its influence on the interpretation of biomedical datasets
20182 citationsauthor #4
PathwayMatcher: proteoform-centric network construction enables fine-granularity multiomics pathway mapping
20184 citationsauthor #7
BioContainers: an open-source and community-driven framework for software standardization
2017729 citationsauthor #6
OLS Client and OLS Dialog: Open Source Tools to Annotate Public Omics Datasets
201718 citationsauthor #4
Discovery and verification of multiple sclerosis candidate biomarkers using iTRAQ and SID-SRM
20170 citationsauthor #12
An Accessible Proteogenomics Informatics Resource for Cancer Researchers.
201724 citationsauthor #8
The mzIdentML Data Standard Version 1.2, Supporting Advances in Proteome Informatics
201754 citationsauthor #4
In-Depth Cerebrospinal Fluid Quantitative Proteome and Deglycoproteome Analysis: Presenting a Comprehensive Picture of Pathways and Processes Affected by Multiple Sclerosis.
201733 citationsauthor #5
PeptideMapper: efficient and versatile amino acid sequence and tag mapping
201713 citationsauthor #2
Stable isotope dimethyl labeling coupled to selected reaction monitoring enhances throughput by multiplexing relative quantitation of targeted proteins Thin
20170 citationsauthor #4
Database Search Engines: Paradigms, Challenges and Solutions.
201619 citationsauthor #4
Using Proteomics Bioinformatics Tools and Resources in Proteogenomic Studies.
20166 citationsauthor #2
Tandem Mass Spectrum Sequencing: An Alternative to Database Search Engines in Shotgun Proteomics.
20162 citationsauthor #4
Visualization, Inspection and Interpretation of Shotgun Proteomics Identification Results.
20163 citationsauthor #5
A Pipeline for Differential Proteomics in Unsequenced Species.
201610 citationsauthor #5
CSF-PR 2.0: An Interactive Literature Guide to Quantitative Cerebrospinal Fluid Mass Spectrometry Data from Neurodegenerative Disorders*
201628 citationsauthor #9
Pladipus Enables Universal Distributed Computing in Proteomics Bioinformatics.
201610 citationsauthor #5
A Simple Workflow for Large Scale Shotgun Glycoproteomics.
20165 citationsauthor #2
Interpretation of Quantitative Shotgun Proteomic Data.
20164 citationsauthor #4
Label‐free analysis of human cerebrospinal fluid addressing various normalization strategies and revealing protein groups affected by multiple sclerosis
201629 citationsauthor #8
Systemic Analysis of Regulated Functional Networks.
20161 citationsauthor #6
Viewing the proteome: How to visualize proteomics data?
201537 citationsauthor #6
Distributed and interactive visual analysis of omics data.
20157 citationsauthor #5
Carboxyl-ester lipase maturity-onset diabetes of the young disease protein biomarkers in secretin-stimulated duodenal juice.
20156 citationsauthor #4
Proteomics Data Visualisation
20153 citationsauthor #2
Exploring the potential of public proteomics data
201572 citationsauthor #8
PeptideShaker enables reanalysis of MS-derived proteomics data sets
2015512 citationsauthor #8
JSparklines: Making tabular proteomics data come alive
20157 citationsauthor #1
Quantitative proteomics suggests decrease in the secretogranin‐1 cerebrospinal fluid levels during the disease course of multiple sclerosis
201534 citationsauthor #4
Practical Considerations for Omics Experiments in Biomedical Sciences.
20152 citationsauthor #2
Distributed computing and data storage in proteomics: Many hands make light work, and a stronger memory
201421 citationsauthor #2
Bioinformatics for proteomics: opportunities at the interface between the scientists, their experiments, and the community.
20142 citationsauthor #2
Shedding light on black boxes in protein identification
201423 citationsauthor #6
Machine learning applications in proteomics research: How the past can boost the future
201461 citationsauthor #8
In-depth Characterization of the Cerebrospinal Fluid (CSF) Proteome Displayed Through the CSF Proteome Resource (CSF-PR)*
2014128 citationsauthor #9
Correlations of mRNA and Protein Abundances
20130 citationsauthor #2
Crowdsourcing in proteomics: public resources lead to better experiments
201327 citationsauthor #1
Computational and Statistical Methods for Protein Quantification by Mass Spectrometry
201316 citationsauthor #2
Label Based Quantification
20130 citationsauthor #2
Standards and Databases
20130 citationsauthor #2
Targeted Quantification – Selected Reaction Monitoring
20133 citationsauthor #2
Pride-asap: Automatic fragment ion annotation of identified PRIDE spectra☆
201316 citationsauthor #4
Mass Spectrometry and Protein Identification
20131 citationsauthor #2
Discovery and initial verification of differentially abundant proteins between multiple sclerosis patients and controls using iTRAQ and SID-SRM.
201364 citationsauthor #10
Appendix: Statistics
20130 citationsauthor #2
Appendix B: Clustering and Discriminant Analysis
20130 citationsauthor #2
Quantification of Post‐Translational Modifications
20131 citationsauthor #2
DeNovoGUI: An Open Source Graphical User Interface for de Novo Sequencing of Tandem Mass Spectra
201382 citationsauthor #7
Protein Quantification by Mass Spectrometry
20130 citationsauthor #2
Fragment Based MS/MS Quantification
20130 citationsauthor #2
Label Based Quantification by MS Spectra
20130 citationsauthor #2
Reporter Based MS/MS Quantification
20130 citationsauthor #2
Label Free Quantification by MS/MS Spectra
20130 citationsauthor #2
Protein Level Quantification
20130 citationsauthor #2
Use of stable isotope dimethyl labeling coupled to selected reaction monitoring to enhance throughput by multiplexing relative quantitation of targeted proteins.
201218 citationsauthor #4
The PRoteomics IDEntification (PRIDE) Converter 2 Framework: An Improved Suite of Tools to Facilitate Data Submission to the PRIDE Database and the ProteomeXchange Consortium
2012114 citationsauthor #15
A global analysis of peptide fragmentation variability
201121 citationsauthor #1
Submitting proteomics data to PRIDE using PRIDE Converter.
20114 citationsauthor #1
compomics-utilities: an open-source Java library for computational proteomics
201199 citationsauthor #1
IsobariQ: software for isobaric quantitative proteomics using IPTL, iTRAQ, and TMT.
201191 citationsauthor #3
SearchGUI: An open‐source graphical user interface for simultaneous OMSSA and X!Tandem searches
2011363 citationsauthor #2
Thermo-msf-parser: an open source Java library to parse and visualize Thermo Proteome Discoverer msf files.
201147 citationsauthor #2
Erratum: ms_lims, a simple yet powerful open source laboratory information management system for MS‐driven proteomics
20100 citationsauthor #3
XTandem Parser: An open‐source library to parse and analyse X!Tandem MS/MS search results
201060 citationsauthor #3
ms_lims, a simple yet powerful open source laboratory information management system for MS‐driven proteomics
201086 citationsauthor #3
OLS Dialog: An open-source front end to the Ontology Lookup Service
201016 citationsauthor #1
Development of Tools for Analyzing and Sharing Proteomics Data
20100 citationsauthor #1
The Ontology Lookup Service: bigger and better
2010138 citationsauthor #4
Erratum: FragmentationAnalyzer: An open‐source tool to analyze MS/MS fragmentation data
20100 citationsauthor #1
Erratum: XTandem Parser: An open‐source library to parse and analyse X!Tandem MS/MS search results
20101 citationsauthor #3
FragmentationAnalyzer: An open‐source tool to analyze MS/MS fragmentation data
201017 citationsauthor #1
PRIDE Converter: making proteomics data-sharing easy
2009173 citationsauthor #1
Proteomics Data Collection – 4th ProDaC Workshop 15 August 2008, Amsterdam, The Netherlands
20093 citationsauthor #4
Getting a grip on proteomics data – Proteomics Data Collection (ProDaC)
200918 citationsauthor #5
OMSSA Parser: An open‐source library to parse and extract data from OMSSA MS/MS search results
200932 citationsauthor #1
- 1-OLS Dialog : An open-source front end to the Ontology Lookup Service
20091 citationsauthor #1
Proteomics Data Collection – 5th ProDaC Workshop 4 March 2009, Kolympari, Crete, Greece
20093 citationsauthor #3
The Proteomics Identifications database: 2010 update
2009252 citationsauthor #4

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