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LipidCreator workbench to probe the lipidomic landscape

Nature communications, 2020-04, Vol.11 (1), p.2057-14, Article 2057

2020

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Goslin: A Grammar of Succinct Lipid Nomenclature

Analytical chemistry (Washington), 2020-08, Vol.92 (16), p.10957-10960

2020

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Quantification of bulk lipid species in human platelets and their thrombin-induced release

Scientific reports, 2023-04, Vol.13 (1), p.6154-6154, Article 6154

2023

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Multi-OMICS: a critical technical perspective on integrative lipidomics approaches

Biochimica et biophysica acta. Molecular and cell biology of lipids, 2017-08, Vol.1862 (8), p.808-811

2017

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Identification of herbal teas and their compounds eliciting antiviral activity against SARS-CoV-2 in vitro

BMC biology, 2022-11, Vol.20 (1), p.1-264, Article 264

2022

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A detailed comparison of analysis processes for MCC-IMS data in disease classification-Automated methods can replace manual peak annotations

PloS one, 2017-09, Vol.12 (9), p.e0184321-e0184321

2017

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A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics

Metabolites, 2022-06, Vol.12 (7), p.584

2022

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LORA, Lipid Over-Representation Analysis Based on Structural Information

Analytical chemistry (Washington), 2023-08, Vol.95 (34), p.12600-12604

2023

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Proceedings of the EuBIC Winter School 2019

EuPA open proteomics, 2019-03, Vol.22-23, p.4-7

2019

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Accurate Sphingolipid Quantification Reducing Fragmentation Bias by Nonlinear Models

Analytical chemistry (Washington), 2023-10, Vol.95 (41), p.15227-15235

2023

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Computational proteomics tools for identification and quality control

Journal of biotechnology, 2017-11, Vol.261, p.126-130

2017

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Peak detection method evaluation for ion mobility spectrometry by using machine learning approaches

Metabolites, 2013-04, Vol.3 (2), p.277-293

2013

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Goslin 2.0 Implements the Recent Lipid Shorthand Nomenclature for MS-Derived Lipid Structures

Analytical chemistry (Washington), 2022-04, Vol.94 (16), p.6097-6101

2022

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LipidSpace: Simple Exploration, Reanalysis, and Quality Control of Large-Scale Lipidomics Studies

Analytical chemistry (Washington), 2023-10, Vol.95 (41), p.15236-15244

2023

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Identification of key lipids critical for platelet activation by comprehensive analysis of the platelet lipidome

Blood, 2018-08, Vol.132 (5), p.e1-e12

2018

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An online peak extraction algorithm for ion mobility spectrometry data

Algorithms for molecular biology, 2015-05, Vol.10 (1), p.17-17, Article 17

2015

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Pepstatin-Based Probes for Photoaffinity Labeling of Aspartic Proteases and Application to Target Identification

ACS chemical biology, 2023-04, Vol.18 (4), p.686-692

2023

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PeptideMapper: efficient and versatile amino acid sequence and tag mapping

Bioinformatics (Oxford, England), 2017-07, Vol.33 (13), p.2042-2044

2017

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Toward Zero Variance in Proteomics Sample Preparation: Positive-Pressure FASP in 96-Well Format (PF96) Enables Highly Reproducible, Time- and Cost-Efficient Analysis of Sample Cohorts

Journal of proteome research, 2022-04, Vol.21 (4), p.1181-1188

2022

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Challenges and perspectives for naming lipids in the context of lipidomics

Metabolomics, 2024-01, Vol.20 (1), p.15-15, Article 15

2024

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Simple Targeted Assays for Metabolic Pathways and Signaling: A Powerful Tool for Targeted Proteomics

Analytical chemistry (Washington), 2020-10, Vol.92 (20), p.13672-13676

2020

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Resource-constrained analysis of ion mobility spectrometry data

Kopczynski, Dominik

2017

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A modular computational framework for automated peak extraction from ion mobility spectra

BMC bioinformatics, 2014-01, Vol.15 (1), p.25-25, Article 25

2014

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LipidCreator workbench to probe the lipidomic landscape

Goslin: A Grammar of Succinct Lipid Nomenclature

Quantification of bulk lipid species in human platelets and their thrombin-induced release

Multi-OMICS: a critical technical perspective on integrative lipidomics approaches

Introducing the Lipidomics Minimal Reporting Checklist

Identification of herbal teas and their compounds eliciting antiviral activity against SARS-CoV-2 in vitro

A detailed comparison of analysis processes for MCC-IMS data in disease classification-Automated methods can replace manual peak annotations

A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics

LORA, Lipid Over-Representation Analysis Based on Structural Information

Proceedings of the EuBIC Winter School 2019

Accurate Sphingolipid Quantification Reducing Fragmentation Bias by Nonlinear Models

Computational proteomics tools for identification and quality control

Peak detection method evaluation for ion mobility spectrometry by using machine learning approaches

Goslin 2.0 Implements the Recent Lipid Shorthand Nomenclature for MS-Derived Lipid Structures

LipidSpace: Simple Exploration, Reanalysis, and Quality Control of Large-Scale Lipidomics Studies

Identification of key lipids critical for platelet activation by comprehensive analysis of the platelet lipidome

An online peak extraction algorithm for ion mobility spectrometry data

Pepstatin-Based Probes for Photoaffinity Labeling of Aspartic Proteases and Application to Target Identification

PeptideMapper: efficient and versatile amino acid sequence and tag mapping

The lipidomics reporting checklist A framework for transparency of lipidomic experiments and repurposing resource data

Toward Zero Variance in Proteomics Sample Preparation: Positive-Pressure FASP in 96-Well Format (PF96) Enables Highly Reproducible, Time- and Cost-Efficient Analysis of Sample Cohorts

Challenges and perspectives for naming lipids in the context of lipidomics

Simple Targeted Assays for Metabolic Pathways and Signaling: A Powerful Tool for Targeted Proteomics

Resource-constrained analysis of ion mobility spectrometry data

A modular computational framework for automated peak extraction from ion mobility spectra

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