Sort   by:  
 Page size 
Data analysis represents a key challenge for untargeted metabolomics studies and it commonly requires extensive processing of more than thousands of metabolite peaks included in raw high-resolution MS data. Although a number of software packages have been developed to facilitate untargeted data proc...
2019-11-19 | MTBLS733 | MetaboLights

Data analysis represents a key challenge for untargeted metabolomics studies and it commonly requires extensive processing of more than thousands of metabolite peaks included in raw high-resolution MS data. Although a number of software packages have been developed to facilitate untargeted data p...

2019-11-19 | MTBLS736 | MetaboLights
The consistent and accurate quantification of proteins is a challenging task for mass spectrometry (MS)-based proteomics. SWATH-MS uses data-independent acquisition (DIA) for label-free quantification. Here we evaluated five software tools for processing SWATH-MS data: OpenSWATH, SWATH2.0, Skyline, ...
ORGANISM(S): Escherichia Coli (ncbitaxon:562) Homo Sapiens (ncbitaxon:9606) Saccharomyces Cerevisiae (ncbitaxon:4932) 
2017-04-27 | MSV000081024 | MassIVE
In order to compare workflows for acquisition and treatment of proteomic data analyzed in Data Independent Acquisition (DIA) mode, a proteomic standard has been generated by spike-in the 48 human proteins of UPS1 (Sigma) in a whole cell extract of E.coli at 8 different concentrations ranging from 0....
ORGANISM(S): Escherichia Coli (ncbitaxon:562) Homo Sapiens (ncbitaxon:9606) 
2021-06-09 | MSV000087597 | MassIVE
Data analysis is a critical part of quantitative proteomics studies in interpreting biological questions. Numerous computational tools including protein quantification, imputation, and differential expression (DE) analysis were generated in the past decade. However, searching optimized tools is stil...
ORGANISM(S): Homo Sapiens (human) Saccharomyces Cerevisiae (baker's Yeast) Drosophila Melanogaster (fruit Fly) 
The consistent and accurate quantification of proteins is a challenging task for mass spectrometry (MS)-based proteomics. SWATH-MS uses data-independent acquisition (DIA) for label-free quantification. Here we evaluated five software tools for processing SWATH-MS data: OpenSWATH, SWATH2.0, Skyline, ...
ORGANISM(S): Homo sapiens (Human) Escherichia coli Saccharomyces cerevisiae (Baker's yeast) 
2016-09-27 | PXD002952 | Pride
Embedding is the key step in single-cell Hi-C (scHi-C) analysis which relies on capturing biological meaningful heterogeneity at various levels of genome architecture. To understand the strength and limitations of existing tools in various applications, here we use ten scHi-C datasets to benchmark t...
ORGANISM(S): Homo sapiens Mus musculus 
2025-08-19 | GSE305523 | GEO
Data from ProteomeXchange, PXD ID: PXD001385. File: QEP1_SpikeIn_230914_3_3ng_270914.mzml. Published as part of J Proteome Res. 2015 Mar 24 . From the Abstract: {{i}} Presented is a data set for benchmarking MS1-based label-free quantitative proteomics using a quadrupole orbitrap mass spectrometer....
ORGANISM(S): Homo_sapiens_viruses, Human_female, Escherichia_coli_k_12_substr__mg1655 
Sort   by:  
 Page size