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Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes

Cell(2021)10.1016/j.cell.2021.03.009Source: DataRank Database

Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes is a research paper published in Cell (2021). On theSindex it has a DataRank of 7.3. It has been cited 560 times, with 200 citing works in its 1-hop citation network.

N/A

7.3DataRank · unranked

Scored on demand from live citation data

Open Access560 citations · 200 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)OA: hybridTopics (73)IDs (PubMed)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 13%Citation Network 87%

Base Score Contribution

0.949

From this paper's citation signal

Citation Network Contribution

6.4

From 200 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 200 citers.

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The Web-Based Portal SpatialTME Integrates Histological Images with Single-Cell and Spatial Transcriptomics to Explore the Tumor Microenvironment
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Authors (69)

Ignaty Leshchiner ORCID,Kerstin Haase ORCID,Maxime Tarabichi ORCID,Jeff Wintersinger ORCID,Amit G. Deshwar ORCID

Live enrichment

PubMed:19965766

European Commission

Grant: 703594

Allele-specific Deconvolution of Tumour DNA Methylation and Expression Data to Reveal Underlying Cell Populations

Wellcome Trust

Grant: 211179

Mapping the constraints and selection pressures of lung cancer evolution

National Institutes of Health

Grant: 5R01CA183793-02

Statistical methods for genomic analysis of heterogeneous tumors

Wellcome Trust

Grant: 097678

Mathematical genomics and medicine

UK Research and Innovation

Grant: EP/R018634/1

Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics

National Institutes of Health

Grant: 5U24CA143799-04

TCGA Data Analysis Center at Berkeley

National Institutes of Health

Grant: 5R01CA132897-04

Bayesian models for cancer prognosis by integrating diverse types of data

National Institutes of Health

Grant: 5R01MH086633-03

Statistical Analysis of Biomedical Imaging Data in Curved Space

National Institutes of Health

Grant: 5U24CA210957-02

OHSU Center for Specialized Data Analysis as part of the GDAN

National Institutes of Health

Grant: 3P30CA016672-41S4

Cancer Center Support (CORE) Grant

Natural Sciences and Engineering Research Council of Canada

Grant: unidentified

unidentified

European Commission

Grant: 747852

SIngle-cell multi-OMICs approach to study intra-tumour heterogeneity of soft tissue Sarcomas

UK Research and Innovation

Grant: MR/L016311/1

MICA: Medical Bioinformatics: Data-Driven Discovery for Personalised Medicine

hybridLicense: cc-by

publisherhttp://www.cell.com/article/S0092867421002944/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0092867421002944?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0092867421002944?httpAccept=text/plain

repositoryhttps://lirias.kuleuven.be/handle/123456789/674390

repositoryhttp://hdl.handle.net/11343/280435

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Drug Resistance, Neoplasm -- geneticsDrug ResistanceDNA, Neoplasm -- chemistry -- metabolismDENSITY-ESTIMATIONPCAWG Evolution and Heterogeneity Working Group and the PCAWG ConsortiumMedical and Health SciencesNeoplasmsDatabases, GeneticPrecision Medicinecancer driver genes11 Medical and Health SciencesCancerddc:610cancer evolutionManchester Cancer Research CentreSingle NucleotideDNA, NeoplasmBiological SciencesSciences bio-médicales et agricolesCLONAL EVOLUTIONVARIABLE SELECTIONwhole-genome sequencingNeoplasms -- genetics -- pathologytumor phylogenysubclonal reconstructionLife Sciences & BiomedicineBiotechnologyResourceBiochemistry & Molecular BiologyDNA Copy Number VariationsOncology and CarcinogenesisBioinformatics and Computational Biology610Neoplasm -- chemistry -- metabolismPREDICTS PROGRESSIONPolymorphism, Single NucleotideDatabasesbranching evolutionGenetic HeterogeneityCancer GenomicsCOPY-NUMBER ANALYSISGeneticEVOLUTIONARY HISTORY616Geneticspan-cancer genomicsHumansPolymorphismScience & TechnologyBiomedical and Clinical SciencesWhole Genome Sequencing31 Biological sciencesHuman Genomeintra-tumor heterogeneityDNACell BiologySOMATIC MUTATIONS32 Biomedical and clinical sciences06 Biological SciencesResearchInstitutes_Networks_Beacons/mcrc; name=Manchester Cancer Research CentreGood Health and Well BeingMUTATIONAL SIGNATURESRB1 GENEDrug Resistance, NeoplasmWomen's HealthNeoplasmINFERENCEDigestive DiseasesNeoplasm -- geneticsDevelopmental Biology

Sustainable Development Goals

SDG 3: 3. Good health