Intelligent data acquisition

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CHEBI ID

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CHEBI:15741 (2)
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Apigenin-7-O-glucoside (1)
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3,5-di-O-E-caffeoylquinic acid (1)
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Kaempferol-3-O-glucoside (1)
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2024 (28)
2022 (22)
2023 (20)
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Lab affiliation

Affiliated Hangzhou First People’s Hospital, State Key Laboratory of Medical Proteomics, School of Medicine, Westlake University, Hangzhou, Zhejiang Province, China. Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province, China. Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China. (2)
Juntendo University (2)
1, Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province, 310030, China 2, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, 310030, China 3, Research Center for Industries of the Future, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang, 310030, China (1)
Department of Cell Biology, Harvard Medical School (1)
Department of Chemistry, University of Washington, Seattle, WA, USA (1)
Department of Genome Sciences University of Washington Seattle, WA USA (1)
Fujian Agriculture and Forestry University (1)
Genome Sciences, University of Washington, Seattle, WA (1)
National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland, A94 X099 School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, Ireland, D04 V1W8. (1)
Principal Investigator, Guomics Laboratory for Proteomic Big Data, School of Medicine, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China. Director, Westlake Center for Intelligent Proteomics, Westlake Laboratory, Hangzhou, Zhejiang Province, China. (1)
Research Institute for Molecular Pathology (1)
School of Medicine, Westlake University, Hangzhou, Zhejiang Province, China. Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province, China. Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China. Guomics (1)
The University of Sydney (1)
University of Applied Sciences Albstadt-Sigmaringen, Department of Life Sciences, Anton-Günther-Straße 51, 72488 Sigmaringen, Germany (1)
Vice Director, Professor Novo Nordisk Foundation Center for Protein Research University of Copenhagen Faculty of Health and Medical Sciences Copenhagen, Denmark (1)
ithree institute, University of Technology Sydney, PO Box 123, Broadway, NSW, 2007, Australia (1)
nstitute for Intelligent Biotechnologies, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, German School of Medicine, Koç University, İstanbul, Turkey Deep Piction, Munich, Germany (1)

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Hybrid-DIA: Intelligent Data Acquisition for Simultaneous Targeted and Discovery Phosphoproteomics in Single Spheroids

Achieving sufficient coverage of regulatory phosphorylation sites by mass spectrometry (MS)-based phosphoproteomics for signaling pathway reconstitution is challenging when analyzing tiny sample amounts. We present a novel hybrid data-independent acquisition (DIA) strategy (hybrid-DIA) that combines...

ORGANISM(S): Homo sapiens (Human)

2023-05-18 | PXD038947 | Pride

Intelligent Electromagnetic Sensing with Learnable Data Acquisition and Processing.

Not available

S-EPMC7660445 | biostudies-literature

A framework for intelligent data acquisition and real-time database searching for shotgun proteomics.

Not available

S-EPMC3316723 | biostudies-literature

FLASHIda enables intelligent data acquisition for top-down proteomics to boost proteoform identification counts.

Not available

S-EPMC9338294 | biostudies-literature

iDIA-QC: AI-empowered Data-Independent Acquisition Mass Spectrometry-based Quality Control

Quality control (QC) in mass spectrometry (MS)-based proteomics is mainly based on data-dependent acquisition (DDA) analysis of standard samples. Here, we collected 2638 files acquired by data independent acquisition (DIA) and paired DDA files from mouse liver digests using 21 mass spectrometers acr...

ORGANISM(S): Mus musculus (Mouse)

2024-11-08 | PXD052871 | Pride

Quality control data independent acquistion diapasef

Increasing the Throughput and Reproducibility of Activity-Based Proteome Profiling Studies with Hyperplexing and Intelligent Data Acquisition.

Not available

S-EPMC11301772 | biostudies-literature

Wind turbine database for intelligent operation and maintenance strategies.

Not available

S-EPMC10904773 | biostudies-literature

metaExpertPro: a computational workflow for metaproteomics spectral library construction and data-independent acquisition mass spectrometry data analysis

Analysis of large-scale data-independent acquisition mass spectrometry (DIA-MS) metaproteomics data remains a computational challenge. Here, we present a computational pipeline called metaExpertPro for metaproteomics data analysis. This pipeline encompasses spectral library generation using data-dep...

ORGANISM(S): Homo sapiens (Human)

2024-09-28 | PXD051104 | Pride

Computational workflow Data-independent acquisition mass spectrometry Metaproteomics

Enhanced sample multiplexing-based targeted proteomics with intelligent data acquisition

Targeted proteomics has been playing an increasingly important role in hypothesis-driven protein research and clinical bi-omarker discovery. We have previously created a workflow, Tomahto, to enable real-time targeted pathway proteomics assays using two-dimensional multiplexing technology. Coupled w...

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

2024-08-14 | MSV000095604 | MassIVE

PFAS non-targeted Leachate - Thermo, IE, DDA, AIF

We introduce FluoroMatch, which automates file conversion, chromatographic peak picking, blank feature filtering, PFAS annotation based on precursor and fragment masses, and annotation ranking. The software library currently contains about 7000 PFAS fragmentation patterns based on rules derived from...

ORGANISM(S): Na

2023-03-30 | MSV000091594 | MassIVE

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OmicsDI is part of the ELIXIR infrastructure

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