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dc.contributor.authorFondi, Marco
dc.date.accessioned2022-06-02T04:37:05Z
dc.date.available2022-06-02T04:37:05Z
dc.date.issued2011
dc.date.submitted2022-05-31T10:17:59Z
dc.identifierONIX_20220531_9788866550457_245
dc.identifier2612-8020
dc.identifierhttps://library.oapen.org/handle/20.500.12657/54961
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/83735
dc.description.abstractBioinformatics, that is the interdisciplinary field that blends computer science and biostatistics with biological and biomedical sciences, is expected to gain a central role in next feature. Indeed, it has now affected several fields of biology, providing crucial hints for the understanding of biological systems and also allowing a more accurate design of wet lab experiments. In this work, the analysis of sequence data has be used in different fields, such as evolution (e.g. the assembly and evolution of metabolism), infections control (e.g. the horizontal flow of antibiotic resistance), ecology (bacterial bioremediation).
dc.languageEnglish
dc.relation.ispartofseriesPremio Tesi di Dottorato
dc.rightsopen access
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematicsen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciencesen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technologyen_US
dc.titleBioinformatics of genome evolution: from ancestral to modern metabolism
dc.title.alternativePhylogenomics and comparative genomics to understand microbial evolution
dc.typebook
oapen.identifier.doi10.36253/978-88-6655-045-7
oapen.relation.isPublishedBy2ec4474d-93b1-4cfa-b313-9c6019b51b1a
oapen.relation.isbn9788866550457
oapen.relation.isbn9788866550433
oapen.relation.isbn9788892736443
oapen.pages80
oapen.place.publicationFirenze
dc.seriesnumber21


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