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Proteome-wide copy-number estimation from transcriptomics

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.10.548432Source: DataRank Database

Proteome-wide copy-number estimation from transcriptomics is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)OA: greenTopics (27)IDs (PubMed, OpenAlex)SDGs (1)

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Open Access

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Authors (4)

Cameron Griffiths ORCID,B. Bishal Paudel ORCID,Kevin A. Janes ORCID,Andrew J. Sweatt ORCID

Live enrichment

PubMed:37503057 OpenAlex:https://openalex.org/W4384039663

National Institutes of Health

Grant: 5T32HL007284-12

BASIC CARDIOVASCULAR RESEARCH

National Institutes of Health

Grant: 1U54CA274499-01

Systems Analysis of Stress-adapted Cancer Organelles (SASCO) Center

NCI NIH HHS

Grant: P30 CA044579

NIGMS NIH HHS

Grant: T32 GM145443

NHLBI NIH HHS

Grant: T32 HL007284

NCI NIH HHS

Grant: U54 CA274499

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/07/11/2023.07.10.548432.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.07.10.548432

repositoryhttps://doi.org/10.1101/2023.07.10.548432

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37503057

Fields of Study

Advanced Proteomics Techniques and ApplicationsGenomics and Phylogenetic StudiesGene expression and cancer classification0206 medical engineering02 engineering and technology

Keywords

BiologyMessenger RNAProteomicsComputational biologyProteomeTranscriptomeGeneHuman Protein AtlasCopy-number variationSystems biologyGene expressionGeneticsBioinformaticsGenomeProtein expressionArticleBiological SciencesCCLECVB3PinfernaSWATHTMT

Sustainable Development Goals

SDG 0: Good health and well-being