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ProteoBench is an open platform for benchmarking proteomics data analysis workflows.

Get Started

ProteoBench in 5 steps#

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  1. Choose a module to benchmark your proteomics data analysis workflow

  2. Download the input data from the module page

  3. Run your workflow on the input data

  4. Upload the results to ProteoBench

  5. Compare your workflow run with validated benchmark runs

ProteoBench Web App

Available ProteoBench modules#

active

Label-free quantification of precursor ions with DDA (QExactive)

Benchmark the ion-level quantification accuracy of label-free data dependent acquisition workflows using a multi-species sample

https://proteobench.cubimed.rub.de/Quant_LFQ_DDA_ion_QExactive

active

Label-free quantification of peptidoforms with DDA (QExactive)

Benchmark the peptidoform-level quantification accuracy of label-free data dependent acquisition workflows using a multi-species sample. Data associated to this module is the same as for the module Quant LFQ DDA precursors (QExactive).

https://proteobench.cubimed.rub.de/Quant_LFQ_DDA_peptidoform

active

Label-free quantification of precursor ions with DDA (Astral)

Benchmark the ion-level quantification accuracy of label-free data dependent acquisition workflows using a multi-species sample

https://proteobench.cubimed.rub.de/Quant_LFQ_DIA_ion_Astral

active

Label-free quantification of precursor ions with DIA-PASEF

additional DIA ion-level module with DIA-PASEF data

https://proteobench.cubimed.rub.de/Quant_LFQ_DIA_ion_diaPASEF

active

Label-free quantification of precursor ions with Astral data

additional DIA ion-level module with Astral DIA data

https://proteobench.cubimed.rub.de/Quant_LFQ_DIA_ion_Astral

in development

benchmark with Dynamic Organellar Mapping

Single-species benchmark using spatial proteomics

https://github.com/orgs/Proteobench/discussions/404

in development

single-cell label free DIA quantification

benchmarking identification and quantification workflows for low-input and single cell proteomics (SCP)

https://github.com/orgs/Proteobench/discussions/426

in development

De novo identification

Benchmark the identification sensitivity and specificity of de novo sequencing workflows

https://github.com/orgs/Proteobench/discussions/356

in discussion

DDA identification - phosphopeptides

Benchmark phosphopeptide identification workflows and assess their identification and localization accuracy

https://github.com/orgs/Proteobench/discussions/625

in discussion

LFQ in Human Plasma

Benchmarking with a high dynamic range multispecies dataset

https://github.com/orgs/Proteobench/discussions/659

in discussion

Identification with DDA

Benchmark the identification sensitivity and specificity of data dependent acquisition workflows using an entrapment strategy

https://github.com/orgs/Proteobench/discussions/373

archived

Label-free quantification of precursor ions with DIA (AIF)

Benchmark the quantification accuracy of label-free data independent acquisition workflows (All-Ion Fragmentation - AIF) using a multi-species sample analysed with an Orbitrap. A discussion on oxidation-related issues with the data used for this module can be found here: orgs/Proteobench#641.

available-modules/archived-modules/4-quant-lfq-ion-dia-aif.md

Module descriptions

Join the ProteoBench community#

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Submit your results as a validated benchmark run to be shared with the community.

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Discuss modules, benchmarking runs, and comparisons with the community.

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Contribute to ProteoBench by developing new modules or improving existing ones.

ProteoBench is#

A project of#

European Bioinformatics Community for Mass Spectrometry (EuBIC-MS)

The European Bioinformatics Community for Mass Spectrometry (EuBIC-MS) is a community of bioinformaticians working in the field of mass spectrometry-based. EuBIC-MS aims to foster communication and collaboration between (computational) mass spectrometry researchers in Europe and beyond. Learn more at eubic-ms.org.

Funded by#

European Proteomics Assocation (EuPA), Danish Data Science Academy (DDSA), and Research Foundation - Flanders (FWO)

Through EuBIC-MS, ProteoBench is continuously supported by the European Proteomics Association (EuPA). For specific events, such as the ProteoBench hackathon, ProteoBench has received funding from the Danish Data Science Academy (DDSA), the Research Foundation - Flanders (FWO), and Core For Life.

Supported by#

Logos of the 20+ contributing institutes

Get in touch#

Questions or comments? Email us at proteobench@eubic-ms.org.