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SL-Cloud: A Computational Resource to Support Synthetic Lethal Interaction Discovery

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.09.18.459450Source: DataRank Database

SL-Cloud: A Computational Resource to Support Synthetic Lethal Interaction Discovery is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (21)IDs (PubMed, OpenAlex)SDGs (1)

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Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Guangrong Qin ORCID,Taek‐Kyun Kim,Boris Aguilar ORCID,Christopher J. Kemp,Nyasha Chambwe ORCID

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W3199056582

National Institutes of Health

Grant: 5U01CA217883-05

Personalized cancer models to discover and develop new therapeutic targets.

National Institutes of Health

Grant: 2P01CA077852-16A1

Bioinformatics/statistical support

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/09/19/2021.09.18.459450.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.09.18.459450

repositoryhttps://doi.org/10.1101/2021.09.18.459450

https://dx.doi.org/10.1101/2021.09.18.459450

Fields of Study

Bioinformatics and Genomic NetworksPARP inhibition in cancer therapy0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

InferenceComputer scienceContext (archaeology)Cloud computingResource (disambiguation)Computational biologySet (abstract data type)Computational resourceSynthetic lethalityComputational complexity theoryGeneArtificial intelligenceBiologyDNA repairGeneticsAlgorithm

Sustainable Development Goals

SDG 3: 3. Good health