IMOPAC: A web server for interactive multiomics and pharmacological analyses of patient-derived cancer cell lines

[1]  M. Kool,et al.  The oncogenic fusion landscape in pediatric CNS neoplasms , 2022, Acta Neuropathologica.

[2]  James M. McFarland,et al.  Gene Fusions Create Partner and Collateral Dependencies Essential to Cancer Cell Survival , 2021, Cancer Research.

[3]  Joshua M. Dempster,et al.  Selective modulation of a pan-essential protein as a therapeutic strategy in cancer. , 2021, Cancer discovery.

[4]  Zhongming Zhao,et al.  Deep generative neural network for accurate drug response imputation , 2021, Nature Communications.

[5]  Hayley E. Francies,et al.  Cancer research needs a better map , 2021, Nature.

[6]  Chris Sander,et al.  CellMiner Cross-Database (CellMinerCDB) version 1.2: Exploration of patient-derived cancer cell line pharmacogenomics , 2020, Nucleic Acids Res..

[7]  Benjamin A. Shoemaker,et al.  PubChem in 2021: new data content and improved web interfaces , 2020, Nucleic Acids Res..

[8]  Susan Tweedie,et al.  Genenames.org: the HGNC and VGNC resources in 2021 , 2020, Nucleic Acids Res..

[9]  Xianqun Fan,et al.  Genetic alteration, RNA expression, and DNA methylation profiling of coronavirus disease 2019 (COVID-19) receptor ACE2 in malignancies: a pan-cancer analysis , 2020, Journal of Hematology & Oncology.

[10]  Jing Xiao,et al.  RNAactDrug: a comprehensive database of RNAs associated with drug sensitivity from multi-omics data , 2019, Briefings Bioinform..

[11]  Bixiang Zhang,et al.  Development and validation of a CIMP-associated prognostic model for hepatocellular carcinoma , 2019, EBioMedicine.

[12]  G. Mills,et al.  Characterization of hypoxia-associated molecular features to aid hypoxia-targeted therapy , 2019, Nature Metabolism.

[13]  D. Weisenberger,et al.  Integrative Epigenetic Analysis Reveals Therapeutic Targets to the DNA Methyltransferase Inhibitor Guadecitabine (SGI‐110) in Hepatocellular Carcinoma , 2018, Hepatology.

[14]  Howard Lightfoot,et al.  Cell Model Passports—a hub for clinical, genetic and functional datasets of preclinical cancer models , 2018, Nucleic Acids Res..

[15]  U. C. Oliveira,et al.  Insights about minority HIV-1 strains in transmitted drug resistance mutation dynamics and disease progression , 2018, The Journal of antimicrobial chemotherapy.

[16]  Vinay Prasad,et al.  Perspective: The precision-oncology illusion , 2016, Nature.

[17]  Emanuel J. V. Gonçalves,et al.  A Landscape of Pharmacogenomic Interactions in Cancer , 2016, Cell.

[18]  Xueda Hu,et al.  Understanding the Genetic Mechanisms of Cancer Drug Resistance Using Genomic Approaches. , 2016, Trends in genetics : TIG.

[19]  J. Mesirov,et al.  The Molecular Signatures Database Hallmark Gene Set Collection , 2015 .

[20]  Gangning Liang,et al.  Gene body methylation can alter gene expression and is a therapeutic target in cancer. , 2014, Cancer cell.

[21]  Roland Eils,et al.  circlize implements and enhances circular visualization in R , 2014, Bioinform..

[22]  Justin Guinney,et al.  GSVA: gene set variation analysis for microarray and RNA-Seq data , 2013, BMC Bioinformatics.

[23]  Sridhar Ramaswamy,et al.  Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells , 2012, Nucleic Acids Res..

[24]  Adam A. Margolin,et al.  The Cancer Cell Line Encyclopedia enables predictive modeling of anticancer drug sensitivity , 2012, Nature.

[25]  R. Shoemaker.  The NCI60 human tumour cell line anticancer drug screen , 2006, Nature Reviews Cancer.

[26]  OUP accepted manuscript , 2021, Nucleic Acids Research.

[27]  Jacob D. Jaffe,et al.  Next-generation characterization of the Cancer Cell Line Encyclopedia , 2019, Nature.