New Trends on Genome and Transcriptome Characterizations

This Research Topic is devoted to bioinformaticians, geneticists and researchers who study or apply methods and algorithms for genomes and transcriptome analyses, aimed at understanding pathology discriminations and classifications. Papers are encouraged that use unconventional approaches and/or whe...

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Главные авторы: Vincenzo Manca, Rosalba Giugno
Формат: Online
Язык:английский
Опубликовано: Frontiers Media SA 2021
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Online-ссылка:32008
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author Vincenzo Manca
Rosalba Giugno
author_browse Rosalba Giugno
Vincenzo Manca
author_facet Vincenzo Manca
Rosalba Giugno
author_sort Vincenzo Manca
collection Directory of Open Access Books
description This Research Topic is devoted to bioinformaticians, geneticists and researchers who study or apply methods and algorithms for genomes and transcriptome analyses, aimed at understanding pathology discriminations and classifications. Papers are encouraged that use unconventional approaches and/or where mathematical and computational concepts are applied to biological and medical contexts in original ways. The contributions presented in the Topic should be of interest also to a wide class of scientists and students involved in the several fields where genomic and transcriptomic approaches are becoming essential for future investigations.
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publishDate 2021
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publisherStr Frontiers Media SA
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spelling doab-20.500.12854ir-546342024-04-05T12:34:59Z New Trends on Genome and Transcriptome Characterizations Vincenzo Manca Rosalba Giugno QH426-470 Q1-390 computational biology algorithms data analysis bioinformatics analysis methods thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) This Research Topic is devoted to bioinformaticians, geneticists and researchers who study or apply methods and algorithms for genomes and transcriptome analyses, aimed at understanding pathology discriminations and classifications. Papers are encouraged that use unconventional approaches and/or where mathematical and computational concepts are applied to biological and medical contexts in original ways. The contributions presented in the Topic should be of interest also to a wide class of scientists and students involved in the several fields where genomic and transcriptomic approaches are becoming essential for future investigations. 2021-02-11T20:59:09Z 2021-02-11T20:59:09Z 2019-01-23 14:53:43 2018 book 32008 16648714 9782889456109 https://directory.doabooks.org/handle/20.500.12854/54634 eng Frontiers Research Topics image/jpeg Attribution 4.0 International https://www.frontiersin.org/research-topics/4703/new-trends-on-genome-and-transcriptome-characterizations Frontiers Media SA 10.3389/978-2-88945-610-9 10.3389/978-2-88945-610-9 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889456109 157 open access
spellingShingle QH426-470
Q1-390
computational biology
algorithms
data analysis
bioinformatics
analysis methods
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical)
Vincenzo Manca
Rosalba Giugno
New Trends on Genome and Transcriptome Characterizations
title New Trends on Genome and Transcriptome Characterizations
title_full New Trends on Genome and Transcriptome Characterizations
title_fullStr New Trends on Genome and Transcriptome Characterizations
title_full_unstemmed New Trends on Genome and Transcriptome Characterizations
title_short New Trends on Genome and Transcriptome Characterizations
title_sort new trends on genome and transcriptome characterizations
topic QH426-470
Q1-390
computational biology
algorithms
data analysis
bioinformatics
analysis methods
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical)
topic_facet QH426-470
Q1-390
computational biology
algorithms
data analysis
bioinformatics
analysis methods
thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical)
url 32008
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