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...

Full description

Saved in:
Bibliographic Details
Superior document:Frontiers Research Topics
:
Year of Publication:2018
Language:English
Series:Frontiers Research Topics
Physical Description:1 electronic resource (157 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 993543919604498
ctrlnum (CKB)4920000000094291
(oapen)https://directory.doabooks.org/handle/20.500.12854/54634
(EXLCZ)994920000000094291
collection bib_alma
record_format marc
spelling Vincenzo Manca auth
New Trends on Genome and Transcriptome Characterizations
Frontiers Media SA 2018
1 electronic resource (157 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Frontiers Research Topics
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.
English
computational biology
algorithms
data analysis
bioinformatics
analysis methods
2-88945-610-2
Rosalba Giugno auth
language English
format eBook
author Vincenzo Manca
spellingShingle Vincenzo Manca
New Trends on Genome and Transcriptome Characterizations
Frontiers Research Topics
author_facet Vincenzo Manca
Rosalba Giugno
author_variant v m vm
author2 Rosalba Giugno
author2_variant r g rg
author_sort Vincenzo Manca
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_auth New Trends on Genome and Transcriptome Characterizations
title_new New Trends on Genome and Transcriptome Characterizations
title_sort new trends on genome and transcriptome characterizations
series Frontiers Research Topics
series2 Frontiers Research Topics
publisher Frontiers Media SA
publishDate 2018
physical 1 electronic resource (157 p.)
isbn 2-88945-610-2
illustrated Not Illustrated
work_keys_str_mv AT vincenzomanca newtrendsongenomeandtranscriptomecharacterizations
AT rosalbagiugno newtrendsongenomeandtranscriptomecharacterizations
status_str n
ids_txt_mv (CKB)4920000000094291
(oapen)https://directory.doabooks.org/handle/20.500.12854/54634
(EXLCZ)994920000000094291
carrierType_str_mv cr
hierarchy_parent_title Frontiers Research Topics
is_hierarchy_title New Trends on Genome and Transcriptome Characterizations
container_title Frontiers Research Topics
author2_original_writing_str_mv noLinkedField
_version_ 1796651485940940801
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01630nam-a2200337z--4500</leader><controlfield tag="001">993543919604498</controlfield><controlfield tag="005">20231214132939.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202102s2018 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4920000000094291</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/54634</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994920000000094291</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Vincenzo Manca</subfield><subfield code="4">auth</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">New Trends on Genome and Transcriptome Characterizations</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">Frontiers Media SA</subfield><subfield code="c">2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (157 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Frontiers Research Topics</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">computational biology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">algorithms</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bioinformatics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">analysis methods</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">2-88945-610-2</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rosalba Giugno</subfield><subfield code="4">auth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:36:57 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2019-11-10 04:18:40 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&amp;portfolio_pid=5337538420004498&amp;Force_direct=true</subfield><subfield code="Z">5337538420004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337538420004498</subfield></datafield></record></collection>