FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3202085191> ?p ?o ?g. }

• W3202085191 abstract "ABSTRACT Cancer pharmacogenomics studies provide valuable insights into disease progression and associations between genomic features and drug response. PharmacoDB integrates multiple cancer pharmacogenomics datasets profiling approved and investigational drugs across cell lines from diverse tissue types. The web-application enables users to efficiently navigate across datasets, view and compare drug dose-response data for a specific drug-cell line pair. In the new version of PharmacoDB (version 2.0, https://pharmacodb.ca/ ), we present: ( i ) new datasets such as NCI-60, the Profiling Relative Inhibition Simultaneously in Mixtures (PRISM) dataset, as well as updated data from the Genomics of Drug Sensitivity in Cancer (GDSC) and the Genentech Cell Line Screening Initiative (gCSI); ( ii ) implementation of FAIR data pipelines using ORCESTRA and PharmacoDI; ( iii ) enhancements to drug response analysis such as tissue distribution of dose-response metrics and biomarker analysis; ( iv ) improved connectivity to drug and cell line databases in the community. The web interface has been rewritten using a modern technology stack to ensure scalability and standardization to accommodate growing pharmacogenomics datasets. PharmacoDB 2.0 is a valuable tool for mining pharmacogenomics datasets, comparing and assessing drug response phenotypes of cancer models. HIGHLIGHTS PharmacoDB 2.0 includes new and updated large pharmacogenomic datasets. The data processing for PharmacoDB is made fully reproducible through the use of the ORCESTRA platform and automated data ingestion pipelines The new release contains enriched annotations for drugs and cell lines via connectivity to external databases, as well as new analytical methods for tissue-specific and pan-cancer biomarker discovery The new version of PharmacoDB incorporates a scalable and reproducible framework that can accelerate the implementation of analytical pipelines including machine learning/AI for biomarker discovery in the future" @default.
• W3202085191 created "2021-10-11" @default.
• W3202085191 creator A5007037437 @default.
• W3202085191 creator A5010487226 @default.
• W3202085191 creator A5011450761 @default.
• W3202085191 creator A5018837401 @default.
• W3202085191 creator A5019617204 @default.
• W3202085191 creator A5019787063 @default.
• W3202085191 creator A5032366086 @default.
• W3202085191 creator A5033793914 @default.
• W3202085191 creator A5036753038 @default.
• W3202085191 creator A5040305688 @default.
• W3202085191 creator A5060754160 @default.
• W3202085191 creator A5063029120 @default.
• W3202085191 creator A5066881174 @default.
• W3202085191 creator A5078560437 @default.
• W3202085191 creator A5085847953 @default.
• W3202085191 creator A5090182196 @default.
• W3202085191 date "2021-09-24" @default.
• W3202085191 modified "2023-10-16" @default.
• W3202085191 title "PharmacoDB 2.0 : Improving scalability and transparency of<i>in vitro</i>pharmacogenomics analysis" @default.
• W3202085191 cites W1967835627 @default.
• W3202085191 cites W1982729445 @default.
• W3202085191 cites W2004879789 @default.
• W3202085191 cites W2043398720 @default.
• W3202085191 cites W2087312216 @default.
• W3202085191 cites W2099456677 @default.
• W3202085191 cites W2108068107 @default.
• W3202085191 cites W2108594680 @default.
• W3202085191 cites W2118909720 @default.
• W3202085191 cites W2125321800 @default.
• W3202085191 cites W2125789330 @default.
• W3202085191 cites W2220553089 @default.
• W3202085191 cites W2261944919 @default.
• W3202085191 cites W2294990791 @default.
• W3202085191 cites W2407075689 @default.
• W3202085191 cites W2461427403 @default.
• W3202085191 cites W2558999090 @default.
• W3202085191 cites W2759360483 @default.
• W3202085191 cites W2777884179 @default.
• W3202085191 cites W2801555904 @default.
• W3202085191 cites W2805978167 @default.
• W3202085191 cites W2916892775 @default.
• W3202085191 cites W3003119869 @default.
• W3202085191 cites W3026552348 @default.
• W3202085191 cites W3039462624 @default.
• W3202085191 cites W3097145107 @default.
• W3202085191 cites W3103634428 @default.
• W3202085191 cites W3135371071 @default.
• W3202085191 cites W3157357664 @default.
• W3202085191 cites W3169622827 @default.
• W3202085191 cites W4231254854 @default.
• W3202085191 cites W4235174527 @default.
• W3202085191 doi "https://doi.org/10.1101/2021.09.21.461211" @default.
• W3202085191 hasPublicationYear "2021" @default.
• W3202085191 type Work @default.
• W3202085191 sameAs 3202085191 @default.
• W3202085191 citedByCount "0" @default.
• W3202085191 crossrefType "posted-content" @default.
• W3202085191 hasAuthorship W3202085191A5007037437 @default.
• W3202085191 hasAuthorship W3202085191A5010487226 @default.
• W3202085191 hasAuthorship W3202085191A5011450761 @default.
• W3202085191 hasAuthorship W3202085191A5018837401 @default.
• W3202085191 hasAuthorship W3202085191A5019617204 @default.
• W3202085191 hasAuthorship W3202085191A5019787063 @default.
• W3202085191 hasAuthorship W3202085191A5032366086 @default.
• W3202085191 hasAuthorship W3202085191A5033793914 @default.
• W3202085191 hasAuthorship W3202085191A5036753038 @default.
• W3202085191 hasAuthorship W3202085191A5040305688 @default.
• W3202085191 hasAuthorship W3202085191A5060754160 @default.
• W3202085191 hasAuthorship W3202085191A5063029120 @default.
• W3202085191 hasAuthorship W3202085191A5066881174 @default.
• W3202085191 hasAuthorship W3202085191A5078560437 @default.
• W3202085191 hasAuthorship W3202085191A5085847953 @default.
• W3202085191 hasAuthorship W3202085191A5090182196 @default.
• W3202085191 hasBestOaLocation W32020851911 @default.
• W3202085191 hasConcept C111919701 @default.
• W3202085191 hasConcept C124101348 @default.
• W3202085191 hasConcept C170734499 @default.
• W3202085191 hasConcept C187191949 @default.
• W3202085191 hasConcept C2780035454 @default.
• W3202085191 hasConcept C2994119904 @default.
• W3202085191 hasConcept C41008148 @default.
• W3202085191 hasConcept C60644358 @default.
• W3202085191 hasConcept C70721500 @default.
• W3202085191 hasConcept C71924100 @default.
• W3202085191 hasConcept C86803240 @default.
• W3202085191 hasConcept C98274493 @default.
• W3202085191 hasConceptScore W3202085191C111919701 @default.
• W3202085191 hasConceptScore W3202085191C124101348 @default.
• W3202085191 hasConceptScore W3202085191C170734499 @default.
• W3202085191 hasConceptScore W3202085191C187191949 @default.
• W3202085191 hasConceptScore W3202085191C2780035454 @default.
• W3202085191 hasConceptScore W3202085191C2994119904 @default.
• W3202085191 hasConceptScore W3202085191C41008148 @default.
• W3202085191 hasConceptScore W3202085191C60644358 @default.
• W3202085191 hasConceptScore W3202085191C70721500 @default.
• W3202085191 hasConceptScore W3202085191C71924100 @default.
• W3202085191 hasConceptScore W3202085191C86803240 @default.
• W3202085191 hasConceptScore W3202085191C98274493 @default.

• next