PXD014690

PXD014690 is an original dataset announced via ProteomeXchange.

Title	Microflow SWATH data analysed with DIA-NN
Description	We have developed DIA-NN, an integrated software suite for fully-automated processing of raw SWATH/DIA data. DIA-NN enables deep and confident proteome coverage with fast chromatographic methods, paving the way for a new generation of high-throughput proteomics. This data set illustrates the capabilities of DIA-NN when analysing microflow SWATH data acquired with 19 - 23 minute gradients as well as the use of DIA-NN to generate spectral libraries directly from SWATH/DIA data.
HostingRepository	PRIDE
AnnounceDate	2019-11-06
AnnouncementXML	Submission_2019-12-02_02:56:11.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Vadim Demichev
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606; scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationList	iodoacetamide derivatized residue
Instrument	TripleTOF 6600

Revision	Datetime	Status	ChangeLog Entry
0	2019-07-22 05:48:42	ID requested
1	2019-11-06 04:21:11	announced
⏵ 2	2019-12-02 02:56:13	announced	2019-12-02: Updated publication reference for PubMed record(s): 31768060.

Demichev V, Messner CB, Vernardis SI, Lilley KS, Ralser M, DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput. Nat Methods, 17(1):41-44(2020) [pubmed]

submitter keyword: High-throughput proteomics, SWATH, DIA, gas-phase fractionation, yeast, K562, plasma

Markus Ralser
contact affiliation	The Francis Crick Institute; Charité – Universitätsmedizin Berlin
contact email	markus.ralser@crick.ac.uk
lab head
Vadim Demichev
contact affiliation	University of Cambridge
contact email	vd286@cam.ac.uk
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/2019/11/PXD014690

PRIDE project URI

• PRIDE
  1. PXD014690
     1. Label: PRIDE project
     2. Name: Microflow SWATH data analysed with DIA-NN