Computational Methods for the Integrative Analysis of Genomics and Pharmacological Data

Since the pioneering NCI-60 panel of the late'80's, several major screenings of genetic profiling and drug testing in cancer cell lines have been conducted to investigate how genetic backgrounds and transcriptional patterns shape cancer's response to therapy and to identify disease-sp...
Ausführliche Beschreibung

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Autor*in:	Jimmy Caroli [verfasserIn] Martina Dori [verfasserIn] Silvio Bicciato [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	genomics pharmacogenomics integration bioinformatics online databases

Übergeordnetes Werk:	In: Frontiers in Oncology - Frontiers Media S.A., 2012, 10(2020)
Übergeordnetes Werk:	volume:10 ; year:2020

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fonc.2020.00185

Katalog-ID:	DOAJ069448043

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language	English
source	In Frontiers in Oncology 10(2020) volume:10 year:2020
sourceStr	In Frontiers in Oncology 10(2020) volume:10 year:2020
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	genomics pharmacogenomics integration bioinformatics online databases Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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container_title	Frontiers in Oncology
authorswithroles_txt_mv	Jimmy Caroli @@aut@@ Martina Dori @@aut@@ Silvio Bicciato @@aut@@
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callnumber-first	R - Medicine
author	Jimmy Caroli
spellingShingle	Jimmy Caroli misc RC254-282 misc genomics misc pharmacogenomics misc integration misc bioinformatics misc online databases misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Computational Methods for the Integrative Analysis of Genomics and Pharmacological Data
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topic_title	RC254-282 Computational Methods for the Integrative Analysis of Genomics and Pharmacological Data genomics pharmacogenomics integration bioinformatics online databases
topic	misc RC254-282 misc genomics misc pharmacogenomics misc integration misc bioinformatics misc online databases misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_unstemmed	misc RC254-282 misc genomics misc pharmacogenomics misc integration misc bioinformatics misc online databases misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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title	Computational Methods for the Integrative Analysis of Genomics and Pharmacological Data
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title_sort	computational methods for the integrative analysis of genomics and pharmacological data
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title_auth	Computational Methods for the Integrative Analysis of Genomics and Pharmacological Data
abstract	Since the pioneering NCI-60 panel of the late'80's, several major screenings of genetic profiling and drug testing in cancer cell lines have been conducted to investigate how genetic backgrounds and transcriptional patterns shape cancer's response to therapy and to identify disease-specific genes associated with drug response. Historically, pharmacogenomics screenings have been largely heterogeneous in terms of investigated cell lines, assay technologies, number of compounds, type and quality of genomic data, and methods for their computational analysis. The analysis of this enormous and heterogeneous amount of data required the development of computational methods for the integration of genomic profiles with drug responses across multiple screenings. Here, we will review the computational tools that have been developed to integrate cancer cell lines' genomic profiles and sensitivity to small molecule perturbations obtained from different screenings.
abstractGer	Since the pioneering NCI-60 panel of the late'80's, several major screenings of genetic profiling and drug testing in cancer cell lines have been conducted to investigate how genetic backgrounds and transcriptional patterns shape cancer's response to therapy and to identify disease-specific genes associated with drug response. Historically, pharmacogenomics screenings have been largely heterogeneous in terms of investigated cell lines, assay technologies, number of compounds, type and quality of genomic data, and methods for their computational analysis. The analysis of this enormous and heterogeneous amount of data required the development of computational methods for the integration of genomic profiles with drug responses across multiple screenings. Here, we will review the computational tools that have been developed to integrate cancer cell lines' genomic profiles and sensitivity to small molecule perturbations obtained from different screenings.
abstract_unstemmed	Since the pioneering NCI-60 panel of the late'80's, several major screenings of genetic profiling and drug testing in cancer cell lines have been conducted to investigate how genetic backgrounds and transcriptional patterns shape cancer's response to therapy and to identify disease-specific genes associated with drug response. Historically, pharmacogenomics screenings have been largely heterogeneous in terms of investigated cell lines, assay technologies, number of compounds, type and quality of genomic data, and methods for their computational analysis. The analysis of this enormous and heterogeneous amount of data required the development of computational methods for the integration of genomic profiles with drug responses across multiple screenings. Here, we will review the computational tools that have been developed to integrate cancer cell lines' genomic profiles and sensitivity to small molecule perturbations obtained from different screenings.
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title_short	Computational Methods for the Integrative Analysis of Genomics and Pharmacological Data
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