@inbook{Cava2014a,
abstract = {{\textcopyright} 2014 by IGI Global. All rights reserved.Bioinformatics traditionally deals with computational approaches to the analysis of big data from high-throughput technologies as genomics, proteomics, and sequencing. Bioinformatics analysis allows extraction of new information from big data that might help to better assess the biological details at a molecular and cellular level. The wide-scale and high-dimensionality of Bioinformatics data has led to an increasing need of high performance computing and repository. In this chapter, the authors demonstrate the advantages of cloud computing in Bioinformatics research for high-throughput technologies.},
author = {Cava, C. and Gallivanone, F. and Salvatore, C. and {Della Rosa}, P.A. and Castiglioni, I.},
booktitle = {Handbook of Research on Cloud Infrastructures for Big Data Analytics},
doi = {10.4018/978-1-4666-5864-6.ch020},
isbn = {9781466658653},
title = {{Bioinformatics clouds for high-throughput technologies}},
pages = {489-507},
year = {2014},
publisher = {IGI Global},
url = {http://www.igi-global.com/gateway/chapter/103227},
note = {[Role: coauthor]}
}

{"_id":"FajujH76tFkoLG9wG","bibbaseid":"cava-gallivanone-salvatore-dellarosa-castiglioni-bioinformaticscloudsforhighthroughputtechnologies-2014","downloads":0,"creationDate":"2017-02-28T16:09:31.923Z","title":"Bioinformatics clouds for high-throughput technologies","author_short":["Cava, C.","Gallivanone, F.","Salvatore, C.","Della Rosa, P.","Castiglioni, I."],"year":2014,"bibtype":"inbook","biburl":"christiansalvatore.github.io/publications/publications.bib","bibdata":{"bibtype":"inbook","type":"inbook","abstract":"© 2014 by IGI Global. All rights reserved.Bioinformatics traditionally deals with computational approaches to the analysis of big data from high-throughput technologies as genomics, proteomics, and sequencing. Bioinformatics analysis allows extraction of new information from big data that might help to better assess the biological details at a molecular and cellular level. The wide-scale and high-dimensionality of Bioinformatics data has led to an increasing need of high performance computing and repository. In this chapter, the authors demonstrate the advantages of cloud computing in Bioinformatics research for high-throughput technologies.","author":[{"propositions":[],"lastnames":["Cava"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Gallivanone"],"firstnames":["F."],"suffixes":[]},{"propositions":[],"lastnames":["Salvatore"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Della Rosa"],"firstnames":["P.A."],"suffixes":[]},{"propositions":[],"lastnames":["Castiglioni"],"firstnames":["I."],"suffixes":[]}],"booktitle":"Handbook of Research on Cloud Infrastructures for Big Data Analytics","doi":"10.4018/978-1-4666-5864-6.ch020","isbn":"9781466658653","title":"Bioinformatics clouds for high-throughput technologies","pages":"489-507","year":"2014","publisher":"IGI Global","url":"http://www.igi-global.com/gateway/chapter/103227","note":"[Role: coauthor]","bibtex":"@inbook{Cava2014a,\r\nabstract = {{\\textcopyright} 2014 by IGI Global. All rights reserved.Bioinformatics traditionally deals with computational approaches to the analysis of big data from high-throughput technologies as genomics, proteomics, and sequencing. Bioinformatics analysis allows extraction of new information from big data that might help to better assess the biological details at a molecular and cellular level. The wide-scale and high-dimensionality of Bioinformatics data has led to an increasing need of high performance computing and repository. In this chapter, the authors demonstrate the advantages of cloud computing in Bioinformatics research for high-throughput technologies.},\r\nauthor = {Cava, C. and Gallivanone, F. and Salvatore, C. and {Della Rosa}, P.A. and Castiglioni, I.},\r\nbooktitle = {Handbook of Research on Cloud Infrastructures for Big Data Analytics},\r\ndoi = {10.4018/978-1-4666-5864-6.ch020},\r\nisbn = {9781466658653},\r\ntitle = {{Bioinformatics clouds for high-throughput technologies}},\r\npages = {489-507},\r\nyear = {2014},\r\npublisher = {IGI Global},\r\nurl = {http://www.igi-global.com/gateway/chapter/103227},\r\nnote = {[Role: coauthor]}\r\n}\r\n\r\n\r\n","author_short":["Cava, C.","Gallivanone, F.","Salvatore, C.","Della Rosa, P.","Castiglioni, I."],"key":"Cava2014a","id":"Cava2014a","bibbaseid":"cava-gallivanone-salvatore-dellarosa-castiglioni-bioinformaticscloudsforhighthroughputtechnologies-2014","role":"author","urls":{"Paper":"http://www.igi-global.com/gateway/chapter/103227"},"metadata":{"authorlinks":{"salvatore, c":"https://christiansalvatore.github.io/publications/publications-bibbase.html"}},"downloads":0,"html":""},"search_terms":["bioinformatics","clouds","high","throughput","technologies","cava","gallivanone","salvatore","della rosa","castiglioni"],"keywords":[],"authorIDs":["cgAgmGEWjNNQacMzk"],"dataSources":["gAwfkWeJKQ66jQWbW","f5zhXfHseroL5hXhM"]}