PXD000279

PXD000279 is an original dataset announced via ProteomeXchange.

Title	MaxLFQ label-free quantification algorithm benchmark datasets
Description	We developed a set of algorithms for label-free quantification, termed MaxLFQ, embedded into MaxQuant. This contains two datasets to benchmark MaxLFQ: The proteome benchmark dataset consists of of HeLa and E. coli lysates mixed at defined ratios. The dynamic range benchmark dataset consists of UPS1/UPS2 standards (Sigma) spiked into E. coli lysates and quantified against each other.
HostingRepository	PRIDE
AnnounceDate	2014-09-18
AnnouncementXML	Submission_2014-09-18_00:31:52.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Mario Oroshi
SpeciesList	scientific name: Escherichia coli; NCBI TaxID: 562; scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
Instrument	LTQ Orbitrap; Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2013-06-10 03:01:43	ID requested
1	2014-09-17 03:29:06	announced
⏵ 2	2014-09-18 00:31:53	announced	Updated project metadata.

Cox J, Hein MY, Luber CA, Paron I, Nagaraj N, Mann M, Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. Mol Cell Proteomics, 13(9):2513-26(2014) [pubmed]

curator keyword: Technical

submitter keyword: label-free quantification, MaxQuant, MaxLFQ, benchmark datasets

Mario Oroshi
contact affiliation	Proteomics
contact email	oroshi@biochem.mpg.de
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2014/09/PXD000279

PRIDE project URI

• PRIDE
  1. PXD000279
     1. Label: PRIDE project
     2. Name: MaxLFQ label-free quantification algorithm benchmark datasets