cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4312143
title: MetaGxPancreas

description: Clinical genomics (MetaGxPancreas) object generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/clinical/10.5281/zenodo.4312144 <strong>Disclaimer</strong> The MetaGxPancreas data were re-processed and shared by the Haibe-Kains Lab (University Health Network) and the Waldron Lab (CUNY Graduate School of Public Health & Health Policy). The Haibe-Kains Lab has re-annotated the data to maximize overlap with other clinical datasets. <strong>Data Usage Policy</strong> The data is under Creative Commons Attribution 4.0 International License provided. Source: https://www.nature.com/articles/s41598-019-45165-4#rightslink <strong>Please cite the following when using these data</strong> Gendoo, D.M.A., Zon, M., Sandhu, V. et al. MetaGxData: Clinically Annotated Breast, Ovarian and Pancreatic Cancer Datasets and their Use in Generating a Multi-Cancer Gene Signature. Sci Rep 9, 8770 (2019). https://doi.org/10.1038/s41598-019-45165-4.
DOI: 10.5281/zenodo.4302463
title: Xeva_PDXE

description: PDXE XevaSet generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/xevaset/10.5281/zenodo.4302463 <strong>Disclaimer</strong> The PDXE data were generated and shared by the Sellers lab at The Broad Institute. The Haibe-Kains Lab has re-annotated the data to maximize overlap with other toxicogenomic datasets. <strong>Data Usage Policy</strong> Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. <strong>Please cite the following when using these data</strong> Gao H, Korn JM, Ferretti S, Monahan JE, Wang Y, Singh M, Zhang C, Schnell C, Yang G, Zhang Y, Balbin OA, Barbe S, Cai H, Casey F, Chatterjee S, Chiang DY, Chuai S, Cogan SM, Collins SD, Dammassa E, Ebel N, Embry M, Green J, Kauffmann A, Kowal C, Leary RJ, Lehar J, Liang Y, Loo A, Lorenzana E, Robert McDonald E 3rd, McLaughlin ME, Merkin J, Meyer R, Naylor TL, Patawaran M, Reddy A, Röelli C, Ruddy DA, Salangsang F, Santacroce F, Singh AP, Tang Y, Tinetto W, Tobler S, Velazquez R, Venkatesan K, Von Arx F, Wang HQ, Wang Z, Wiesmann M, Wyss D, Xu F, Bitter H, Atadja P, Lees E, Hofmann F, Li E, Keen N, Cozens R, Jensen MR, Pryer NK, Williams JA, Sellers WR. High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response. Nat Med. 2015 Nov;21(11):1318-25. doi: 10.1038/nm.3954. Epub 2015 Oct 19. PMID: 26479923. Arvind S. Mer, Wail Ba-Alawi, Petr Smirnov, Yi X. Wang, Ben Brew, Janosch Ortmann, Ming-Sound Tsao, David W. Cescon, Anna Goldenberg and Benjamin Haibe-Kains. (2019) Integrative Pharmacogenomics Analysis of Patient-Derived Xenografts. Cancer Res September 1 2019 (79) (17) 4539-4550; DOI: 10.1158/0008-5472.CAN-19-0349.
DOI: 10.5281/zenodo.4302462
title: Xeva_PDXE

description: PDXE XevaSet generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/xevaset/10.5281/zenodo.4302463 <strong>Disclaimer</strong> The PDXE data were generated and shared by the Sellers lab at The Broad Institute. The Haibe-Kains Lab has re-annotated the data to maximize overlap with other toxicogenomic datasets. <strong>Data Usage Policy</strong> Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. <strong>Please cite the following when using these data</strong> Gao H, Korn JM, Ferretti S, Monahan JE, Wang Y, Singh M, Zhang C, Schnell C, Yang G, Zhang Y, Balbin OA, Barbe S, Cai H, Casey F, Chatterjee S, Chiang DY, Chuai S, Cogan SM, Collins SD, Dammassa E, Ebel N, Embry M, Green J, Kauffmann A, Kowal C, Leary RJ, Lehar J, Liang Y, Loo A, Lorenzana E, Robert McDonald E 3rd, McLaughlin ME, Merkin J, Meyer R, Naylor TL, Patawaran M, Reddy A, Röelli C, Ruddy DA, Salangsang F, Santacroce F, Singh AP, Tang Y, Tinetto W, Tobler S, Velazquez R, Venkatesan K, Von Arx F, Wang HQ, Wang Z, Wiesmann M, Wyss D, Xu F, Bitter H, Atadja P, Lees E, Hofmann F, Li E, Keen N, Cozens R, Jensen MR, Pryer NK, Williams JA, Sellers WR. High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response. Nat Med. 2015 Nov;21(11):1318-25. doi: 10.1038/nm.3954. Epub 2015 Oct 19. PMID: 26479923. Arvind S. Mer, Wail Ba-Alawi, Petr Smirnov, Yi X. Wang, Ben Brew, Janosch Ortmann, Ming-Sound Tsao, David W. Cescon, Anna Goldenberg and Benjamin Haibe-Kains. (2019) Integrative Pharmacogenomics Analysis of Patient-Derived Xenografts. Cancer Res September 1 2019 (79) (17) 4539-4550; DOI: 10.1158/0008-5472.CAN-19-0349.
DOI: 10.5281/zenodo.4302212
title: EMEXP2458

description: EMEXP2458 ToxicoSet (TSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/toxicoset/10.5281/zenodo.4302212 <strong>Disclaimer</strong> The EMEXP2458 data were generated and shared by the Department of Health Risk Analysis and Toxicology at Maastricht University, the Netherlands through ArrayExpress (E-MEXP-2458). The Haibe-Kains Lab has re-annotated the data to maximize overlap with other toxicogenomic datasets. <strong>Data Usage Policy</strong> The data are provided by ArrayExpress, under a permissive license. Source: https://www.ebi.ac.uk/arrayexpress/help/FAQ.html#data_restrictions <strong>Please cite the following when using these data</strong> Danyel G. J. Jennen, Christina Magkoufopoulou, Hans B. Ketelslegers, Marcel H. M. van Herwijnen, Jos C. S. Kleinjans, Joost H. M. van Delft, Comparison of HepG2 and HepaRG by Whole-Genome Gene Expression Analysis for the Purpose of Chemical Hazard Identification, Toxicological Sciences, Volume 115, Issue 1, May 2010, Pages 66–79, https://doi.org/10.1093/toxsci/kfq026
DOI: 10.5281/zenodo.4302211
title: EMEXP2458

description: EMEXP2458 ToxicoSet (TSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/toxicoset/10.5281/zenodo.4302212 <strong>Disclaimer</strong> The EMEXP2458 data were generated and shared by the Department of Health Risk Analysis and Toxicology at Maastricht University, the Netherlands through ArrayExpress (E-MEXP-2458). The Haibe-Kains Lab has re-annotated the data to maximize overlap with other toxicogenomic datasets. <strong>Data Usage Policy</strong> The data are provided by ArrayExpress, under a permissive license. Source: https://www.ebi.ac.uk/arrayexpress/help/FAQ.html#data_restrictions <strong>Please cite the following when using these data</strong> Danyel G. J. Jennen, Christina Magkoufopoulou, Hans B. Ketelslegers, Marcel H. M. van Herwijnen, Jos C. S. Kleinjans, Joost H. M. van Delft, Comparison of HepG2 and HepaRG by Whole-Genome Gene Expression Analysis for the Purpose of Chemical Hazard Identification, Toxicological Sciences, Volume 115, Issue 1, May 2010, Pages 66–79, https://doi.org/10.1093/toxsci/kfq026
DOI: 10.5281/zenodo.5008989
title: Base de datos sobre percepción de riesgo ante el VIH en hombres

description: Base de datos para obtener las propiedades psicométricas de la <strong>Escala de percepción de riesgo ante el VIH (EPR-VIH) en hombres</strong>, resultados publicados en la Revista de Psicología UNLP.
DOI: 10.5281/zenodo.5008988
title: Base de datos sobre percepción de riesgo ante el VIH en hombres

description: Base de datos para obtener las propiedades psicométricas de la <strong>Escala de percepción de riesgo ante el VIH (EPR-VIH) en hombres</strong>, resultados publicados en la Revista de Psicología UNLP.
DOI: 10.17903/fk2/78tb7d
title: Οδός Ιπποκράτους. Όψεις ενός δρόμου στο κέντρο της πόλης

description: H έρευνα αποτυπώνει χαρακτηριστικά που προσδίδουν την ταυτότητά της στην οδό Ιπποκράτους και επικεντρώνεται στα εμπορικά μαγαζιά κατά μήκος της οδού Ιπποκράτους, εξετάζοντας την αντίληψη της καθημερινής βίωσης του δρόμου από τους επαγγελματίες που διατηρούν εκεί καταστήματα.
DOI: 10.5281/zenodo.4302218
title: TGGATES_human_ldh

description: TGGATES_human_ldh ToxicoSet (TSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/toxicoset/10.5281/zenodo.4302218 <strong>Disclaimer</strong> The Open TG-GATEs data were generated and shared by the National Bioscience Database Center (Toxicogenomics Project and Toxicogenomics Informatics Project). The Haibe-Kains Lab has re-annotated the data to maximize overlap with other toxicogenomic datasets. <strong>Data Usage Policy</strong> The data is attributed to the Toxicogenomics Project and Toxicogenomics Informatics Project under CC Attribution-Share Alike 2.1 Japan provided. Source: https://dbarchive.biosciencedbc.jp/en/open-tggates/lic.html <strong>Please cite the following when using these data</strong> Igarashi Y, Nakatsu N, Yamashita T, Ono A, Ohno Y, Urushidani T, Yamada H. Open TG-GATEs: a large-scale toxicogenomics database. Nucleic Acids Res. 2015 Jan;43(Database issue):D921-7. doi: 10.1093/nar/gku955. Epub 2014 Oct 13. PMID: 25313160; PMCID: PMC4384023.
DOI: 10.5281/zenodo.4302217
title: TGGATES_human_ldh

description: TGGATES_human_ldh ToxicoSet (TSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/toxicoset/10.5281/zenodo.4302218 <strong>Disclaimer</strong> The Open TG-GATEs data were generated and shared by the National Bioscience Database Center (Toxicogenomics Project and Toxicogenomics Informatics Project). The Haibe-Kains Lab has re-annotated the data to maximize overlap with other toxicogenomic datasets. <strong>Data Usage Policy</strong> The data is attributed to the Toxicogenomics Project and Toxicogenomics Informatics Project under CC Attribution-Share Alike 2.1 Japan provided. Source: https://dbarchive.biosciencedbc.jp/en/open-tggates/lic.html <strong>Please cite the following when using these data</strong> Igarashi Y, Nakatsu N, Yamashita T, Ono A, Ohno Y, Urushidani T, Yamada H. Open TG-GATEs: a large-scale toxicogenomics database. Nucleic Acids Res. 2015 Jan;43(Database issue):D921-7. doi: 10.1093/nar/gku955. Epub 2014 Oct 13. PMID: 25313160; PMCID: PMC4384023.
DOI: 10.5281/zenodo.4302230
title: TGGATES_rat_ldh

description: TGGATES_rat_ldh ToxicoSet (TSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/toxicoset/10.5281/zenodo.4302230 <strong>Disclaimer</strong> The Open TG-GATEs data were generated and shared by the National Bioscience Database Center (Toxicogenomics Project and Toxicogenomics Informatics Project). The Haibe-Kains Lab has re-annotated the data to maximize overlap with other toxicogenomic datasets. <strong>Data Usage Policy</strong> The data is attributed to the Toxicogenomics Project and Toxicogenomics Informatics Project under CC Attribution-Share Alike 2.1 Japan provided. Source: https://dbarchive.biosciencedbc.jp/en/open-tggates/lic.html <strong>Please cite the following when using these data</strong> Igarashi Y, Nakatsu N, Yamashita T, Ono A, Ohno Y, Urushidani T, Yamada H. Open TG-GATEs: a large-scale toxicogenomics database. Nucleic Acids Res. 2015 Jan;43(Database issue):D921-7. doi: 10.1093/nar/gku955. Epub 2014 Oct 13. PMID: 25313160; PMCID: PMC4384023.
DOI: 10.5281/zenodo.4302229
title: TGGATES_rat_ldh

description: TGGATES_rat_ldh ToxicoSet (TSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/toxicoset/10.5281/zenodo.4302230 <strong>Disclaimer</strong> The Open TG-GATEs data were generated and shared by the National Bioscience Database Center (Toxicogenomics Project and Toxicogenomics Informatics Project). The Haibe-Kains Lab has re-annotated the data to maximize overlap with other toxicogenomic datasets. <strong>Data Usage Policy</strong> The data is attributed to the Toxicogenomics Project and Toxicogenomics Informatics Project under CC Attribution-Share Alike 2.1 Japan provided. Source: https://dbarchive.biosciencedbc.jp/en/open-tggates/lic.html <strong>Please cite the following when using these data</strong> Igarashi Y, Nakatsu N, Yamashita T, Ono A, Ohno Y, Urushidani T, Yamada H. Open TG-GATEs: a large-scale toxicogenomics database. Nucleic Acids Res. 2015 Jan;43(Database issue):D921-7. doi: 10.1093/nar/gku955. Epub 2014 Oct 13. PMID: 25313160; PMCID: PMC4384023.
DOI: 10.5281/zenodo.4302202
title: drugMatrix

description: drugMatrix ToxicoSet (TSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/toxicoset/10.5281/zenodo.4302202 <strong>Disclaimer</strong> The DrugMatrix data were generated and shared by the National Toxicology Program (U.S Department of Health and Human Services). The Haibe-Kains Lab has re-annotated the data to maximize overlap with other toxicogenomic datasets. <strong>Data Usage Policy</strong> The data is attributed to the National Toxicology Program and may be copied and distributed without permission. Source:https://ntp.niehs.nih.gov/support/policies/index.html?utm_source=direct&utm_medium=prod&utm_campaign=ntpgolinks&utm_term=policies <br> <strong>Please cite the following when using these data</strong> Svoboda D.L., Saddler T., Auerbach S.S. (2019) An Overview of National Toxicology Program’s Toxicogenomic Applications: DrugMatrix and ToxFX. In: Hong H. (eds) Advances in Computational Toxicology. Challenges and Advances in Computational Chemistry and Physics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-16443-0_8
DOI: 10.5281/zenodo.4302201
title: drugMatrix

description: drugMatrix ToxicoSet (TSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://www.orcestra.ca/toxicoset/10.5281/zenodo.4302202 <strong>Disclaimer</strong> The DrugMatrix data were generated and shared by the National Toxicology Program (U.S Department of Health and Human Services). The Haibe-Kains Lab has re-annotated the data to maximize overlap with other toxicogenomic datasets. <strong>Data Usage Policy</strong> The data is attributed to the National Toxicology Program and may be copied and distributed without permission. Source:https://ntp.niehs.nih.gov/support/policies/index.html?utm_source=direct&utm_medium=prod&utm_campaign=ntpgolinks&utm_term=policies <br> <strong>Please cite the following when using these data</strong> Svoboda D.L., Saddler T., Auerbach S.S. (2019) An Overview of National Toxicology Program’s Toxicogenomic Applications: DrugMatrix and ToxFX. In: Hong H. (eds) Advances in Computational Toxicology. Challenges and Advances in Computational Chemistry and Physics, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-030-16443-0_8
DOI: 10.5281/zenodo.4012486
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.4012486 <strong>Disclaimer</strong> The GDSC2 data have been generated and shared by the Wellcome Trust Sanger Institute as part of the Genomics of Drug Sensitivity in Cancer (GDSC) Programme. The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> Users have a non-exclusive, non-transferable right to use data files for internal proprietary research and educational purposes, including target, biomarker and drug discovery. Excluded from this licence are use of the data (in whole or any significant part) for resale either alone or in combination with additional data/product offerings, or for provision of commercial services. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genome Research Limited provides access to data files on an “as is” basis and excludes all warranties of any kind (express or implied). If you are interested in incorporating results or software into a product, or have questions, please contact depmap@sanger.ac.uk. Source: https://depmap.sanger.ac.uk/documentation/data-usage-policy/ Sanger's terms and conditions: http://www.cancerrxgene.org/legal <strong>Please cite the following when using these data</strong> Iorio F, Knijnenburg TA, Vis DJ, Bignell GR, Menden MP, Schubert M, Aben N, Gonçalves E, Barthorpe S, Lightfoot H, Cokelaer T, Greninger P, van Dyk E, Chang H, de Silva H, Heyn H, Deng X, Egan RK, Liu Q, Mironenko T, Mitropoulos X, Richardson L, Wang J, Zhang T, Moran S, Sayols S, Soleimani M, Tamborero D, Lopez-Bigas N, Ross-Macdonald P, Esteller M, Gray NS, Haber DA, Stratton MR, Benes CH, Wessels LFA, Saez-Rodriguez J, McDermott U, Garnett MJ. A Landscape of Pharmacogenomic Interactions in Cancer. Cell. 2016 Jul 28;166(3):740-754. doi: 10.1016/j.cell.2016.06.017. Epub 2016 Jul 7. PMID: 27397505; PMCID: PMC4967469. Yang W, Soares J, Greninger P, Edelman EJ, Lightfoot H, Forbes S, Bindal N, Beare D, Smith JA, Thompson IR, Ramaswamy S, Futreal PA, Haber DA, Stratton MR, Benes C, McDermott U, Garnett MJ. Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res. 2013 Jan;41(Database issue):D955-61. doi: 10.1093/nar/gks1111. Epub 2012 Nov 23. PMID: 23180760; PMCID: PMC3531057. Picco G, Chen ED, Alonso LG, Behan FM, Gonçalves E, Bignell G, Matchan A, Fu B, Banerjee R, Anderson E, Butler A, Benes CH, McDermott U, Dow D, Iorio F, Stronach E, Yang F, Yusa K, Saez-Rodriguez J, Garnett MJ. Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening. Nat Commun. 2019 May 16;10(1):2198. doi: 10.1038/s41467-019-09940-1. PMID: 31097696; PMCID: PMC6522557.
DOI: 10.5281/zenodo.4012485
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.4012486 <strong>Disclaimer</strong> The GDSC2 data have been generated and shared by the Wellcome Trust Sanger Institute as part of the Genomics of Drug Sensitivity in Cancer (GDSC) Programme. The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> Users have a non-exclusive, non-transferable right to use data files for internal proprietary research and educational purposes, including target, biomarker and drug discovery. Excluded from this licence are use of the data (in whole or any significant part) for resale either alone or in combination with additional data/product offerings, or for provision of commercial services. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genome Research Limited provides access to data files on an “as is” basis and excludes all warranties of any kind (express or implied). If you are interested in incorporating results or software into a product, or have questions, please contact depmap@sanger.ac.uk. Source: https://depmap.sanger.ac.uk/documentation/data-usage-policy/ Sanger's terms and conditions: http://www.cancerrxgene.org/legal <strong>Please cite the following when using these data</strong> Iorio F, Knijnenburg TA, Vis DJ, Bignell GR, Menden MP, Schubert M, Aben N, Gonçalves E, Barthorpe S, Lightfoot H, Cokelaer T, Greninger P, van Dyk E, Chang H, de Silva H, Heyn H, Deng X, Egan RK, Liu Q, Mironenko T, Mitropoulos X, Richardson L, Wang J, Zhang T, Moran S, Sayols S, Soleimani M, Tamborero D, Lopez-Bigas N, Ross-Macdonald P, Esteller M, Gray NS, Haber DA, Stratton MR, Benes CH, Wessels LFA, Saez-Rodriguez J, McDermott U, Garnett MJ. A Landscape of Pharmacogenomic Interactions in Cancer. Cell. 2016 Jul 28;166(3):740-754. doi: 10.1016/j.cell.2016.06.017. Epub 2016 Jul 7. PMID: 27397505; PMCID: PMC4967469. Yang W, Soares J, Greninger P, Edelman EJ, Lightfoot H, Forbes S, Bindal N, Beare D, Smith JA, Thompson IR, Ramaswamy S, Futreal PA, Haber DA, Stratton MR, Benes C, McDermott U, Garnett MJ. Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res. 2013 Jan;41(Database issue):D955-61. doi: 10.1093/nar/gks1111. Epub 2012 Nov 23. PMID: 23180760; PMCID: PMC3531057. Picco G, Chen ED, Alonso LG, Behan FM, Gonçalves E, Bignell G, Matchan A, Fu B, Banerjee R, Anderson E, Butler A, Benes CH, McDermott U, Dow D, Iorio F, Stronach E, Yang F, Yusa K, Saez-Rodriguez J, Garnett MJ. Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening. Nat Commun. 2019 May 16;10(1):2198. doi: 10.1038/s41467-019-09940-1. PMID: 31097696; PMCID: PMC6522557.
DOI: 10.5281/zenodo.3905481
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3905481 <strong>Disclaimer</strong> The GDSC2 data have been generated and shared by the Wellcome Trust Sanger Institute as part of the Genomics of Drug Sensitivity in Cancer (GDSC) Programme. The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> Users have a non-exclusive, non-transferable right to use data files for internal proprietary research and educational purposes, including target, biomarker and drug discovery. Excluded from this licence are use of the data (in whole or any significant part) for resale either alone or in combination with additional data/product offerings, or for provision of commercial services. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genome Research Limited provides access to data files on an “as is” basis and excludes all warranties of any kind (express or implied). If you are interested in incorporating results or software into a product, or have questions, please contact depmap@sanger.ac.uk. Source: https://depmap.sanger.ac.uk/documentation/data-usage-policy/ Sanger's terms and conditions: http://www.cancerrxgene.org/legal <strong>Please cite the following when using these data</strong> Iorio F, Knijnenburg TA, Vis DJ, Bignell GR, Menden MP, Schubert M, Aben N, Gonçalves E, Barthorpe S, Lightfoot H, Cokelaer T, Greninger P, van Dyk E, Chang H, de Silva H, Heyn H, Deng X, Egan RK, Liu Q, Mironenko T, Mitropoulos X, Richardson L, Wang J, Zhang T, Moran S, Sayols S, Soleimani M, Tamborero D, Lopez-Bigas N, Ross-Macdonald P, Esteller M, Gray NS, Haber DA, Stratton MR, Benes CH, Wessels LFA, Saez-Rodriguez J, McDermott U, Garnett MJ. A Landscape of Pharmacogenomic Interactions in Cancer. Cell. 2016 Jul 28;166(3):740-754. doi: 10.1016/j.cell.2016.06.017. Epub 2016 Jul 7. PMID: 27397505; PMCID: PMC4967469. Yang W, Soares J, Greninger P, Edelman EJ, Lightfoot H, Forbes S, Bindal N, Beare D, Smith JA, Thompson IR, Ramaswamy S, Futreal PA, Haber DA, Stratton MR, Benes C, McDermott U, Garnett MJ. Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res. 2013 Jan;41(Database issue):D955-61. doi: 10.1093/nar/gks1111. Epub 2012 Nov 23. PMID: 23180760; PMCID: PMC3531057. Picco G, Chen ED, Alonso LG, Behan FM, Gonçalves E, Bignell G, Matchan A, Fu B, Banerjee R, Anderson E, Butler A, Benes CH, McDermott U, Dow D, Iorio F, Stronach E, Yang F, Yusa K, Saez-Rodriguez J, Garnett MJ. Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening. Nat Commun. 2019 May 16;10(1):2198. doi: 10.1038/s41467-019-09940-1. PMID: 31097696; PMCID: PMC6522557.