Actual trends in water ecosystem biology development
This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analys...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
E. V. Likhoshway [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch ; Russisch |
| Erschienen: |
2017 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
In: Морской биологический журнал - A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, 2018, 2(2017), 4 |
|---|---|
| Übergeordnetes Werk: |
volume:2 ; year:2017 ; number:4 |
| Links: |
Link aufrufen |
|---|
| DOI / URN: |
10.21072/mbj.2017.02.4.01 |
|---|
| Katalog-ID: |
DOAJ045681902 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | DOAJ045681902 | ||
| 003 | DE-627 | ||
| 005 | 20230308094435.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230227s2017 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.21072/mbj.2017.02.4.01 |2 doi | |
| 035 | |a (DE-627)DOAJ045681902 | ||
| 035 | |a (DE-599)DOAJ5065e49f6775479eb082a3ab90468d86 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng |a rus | ||
| 050 | 0 | |a QH301-705.5 | |
| 100 | 0 | |a E. V. Likhoshway |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Actual trends in water ecosystem biology development |
| 264 | 1 | |c 2017 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole. | ||
| 650 | 4 | |a oceans systems biology | |
| 650 | 4 | |a “-omics” | |
| 650 | 4 | |a big data | |
| 650 | 4 | |a signaling | |
| 653 | 0 | |a Biology (General) | |
| 773 | 0 | 8 | |i In |t Морской биологический журнал |d A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, 2018 |g 2(2017), 4 |w (DE-627)1760636169 |x 24999776 |7 nnns |
| 773 | 1 | 8 | |g volume:2 |g year:2017 |g number:4 |
| 856 | 4 | 0 | |u https://doi.org/10.21072/mbj.2017.02.4.01 |z kostenfrei |
| 856 | 4 | 0 | |u https://doaj.org/article/5065e49f6775479eb082a3ab90468d86 |z kostenfrei |
| 856 | 4 | 0 | |u https://marine-biology.ru/mbj/article/view/92 |z kostenfrei |
| 856 | 4 | 2 | |u https://doaj.org/toc/2499-9768 |y Journal toc |z kostenfrei |
| 856 | 4 | 2 | |u https://doaj.org/toc/2499-9776 |y Journal toc |z kostenfrei |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_DOAJ | ||
| 951 | |a AR | ||
| 952 | |d 2 |j 2017 |e 4 | ||
| author_variant |
e v l evl |
|---|---|
| matchkey_str |
article:24999776:2017----::culrnsnaeeoytmil |
| hierarchy_sort_str |
2017 |
| callnumber-subject-code |
QH |
| publishDate |
2017 |
| allfields |
10.21072/mbj.2017.02.4.01 doi (DE-627)DOAJ045681902 (DE-599)DOAJ5065e49f6775479eb082a3ab90468d86 DE-627 ger DE-627 rakwb eng rus QH301-705.5 E. V. Likhoshway verfasserin aut Actual trends in water ecosystem biology development 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole. oceans systems biology “-omics” big data signaling Biology (General) In Морской биологический журнал A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, 2018 2(2017), 4 (DE-627)1760636169 24999776 nnns volume:2 year:2017 number:4 https://doi.org/10.21072/mbj.2017.02.4.01 kostenfrei https://doaj.org/article/5065e49f6775479eb082a3ab90468d86 kostenfrei https://marine-biology.ru/mbj/article/view/92 kostenfrei https://doaj.org/toc/2499-9768 Journal toc kostenfrei https://doaj.org/toc/2499-9776 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 2 2017 4 |
| spelling |
10.21072/mbj.2017.02.4.01 doi (DE-627)DOAJ045681902 (DE-599)DOAJ5065e49f6775479eb082a3ab90468d86 DE-627 ger DE-627 rakwb eng rus QH301-705.5 E. V. Likhoshway verfasserin aut Actual trends in water ecosystem biology development 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole. oceans systems biology “-omics” big data signaling Biology (General) In Морской биологический журнал A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, 2018 2(2017), 4 (DE-627)1760636169 24999776 nnns volume:2 year:2017 number:4 https://doi.org/10.21072/mbj.2017.02.4.01 kostenfrei https://doaj.org/article/5065e49f6775479eb082a3ab90468d86 kostenfrei https://marine-biology.ru/mbj/article/view/92 kostenfrei https://doaj.org/toc/2499-9768 Journal toc kostenfrei https://doaj.org/toc/2499-9776 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 2 2017 4 |
| allfields_unstemmed |
10.21072/mbj.2017.02.4.01 doi (DE-627)DOAJ045681902 (DE-599)DOAJ5065e49f6775479eb082a3ab90468d86 DE-627 ger DE-627 rakwb eng rus QH301-705.5 E. V. Likhoshway verfasserin aut Actual trends in water ecosystem biology development 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole. oceans systems biology “-omics” big data signaling Biology (General) In Морской биологический журнал A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, 2018 2(2017), 4 (DE-627)1760636169 24999776 nnns volume:2 year:2017 number:4 https://doi.org/10.21072/mbj.2017.02.4.01 kostenfrei https://doaj.org/article/5065e49f6775479eb082a3ab90468d86 kostenfrei https://marine-biology.ru/mbj/article/view/92 kostenfrei https://doaj.org/toc/2499-9768 Journal toc kostenfrei https://doaj.org/toc/2499-9776 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 2 2017 4 |
| allfieldsGer |
10.21072/mbj.2017.02.4.01 doi (DE-627)DOAJ045681902 (DE-599)DOAJ5065e49f6775479eb082a3ab90468d86 DE-627 ger DE-627 rakwb eng rus QH301-705.5 E. V. Likhoshway verfasserin aut Actual trends in water ecosystem biology development 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole. oceans systems biology “-omics” big data signaling Biology (General) In Морской биологический журнал A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, 2018 2(2017), 4 (DE-627)1760636169 24999776 nnns volume:2 year:2017 number:4 https://doi.org/10.21072/mbj.2017.02.4.01 kostenfrei https://doaj.org/article/5065e49f6775479eb082a3ab90468d86 kostenfrei https://marine-biology.ru/mbj/article/view/92 kostenfrei https://doaj.org/toc/2499-9768 Journal toc kostenfrei https://doaj.org/toc/2499-9776 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 2 2017 4 |
| allfieldsSound |
10.21072/mbj.2017.02.4.01 doi (DE-627)DOAJ045681902 (DE-599)DOAJ5065e49f6775479eb082a3ab90468d86 DE-627 ger DE-627 rakwb eng rus QH301-705.5 E. V. Likhoshway verfasserin aut Actual trends in water ecosystem biology development 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole. oceans systems biology “-omics” big data signaling Biology (General) In Морской биологический журнал A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, 2018 2(2017), 4 (DE-627)1760636169 24999776 nnns volume:2 year:2017 number:4 https://doi.org/10.21072/mbj.2017.02.4.01 kostenfrei https://doaj.org/article/5065e49f6775479eb082a3ab90468d86 kostenfrei https://marine-biology.ru/mbj/article/view/92 kostenfrei https://doaj.org/toc/2499-9768 Journal toc kostenfrei https://doaj.org/toc/2499-9776 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 2 2017 4 |
| language |
English Russian |
| source |
In Морской биологический журнал 2(2017), 4 volume:2 year:2017 number:4 |
| sourceStr |
In Морской биологический журнал 2(2017), 4 volume:2 year:2017 number:4 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
oceans systems biology “-omics” big data signaling Biology (General) |
| isfreeaccess_bool |
true |
| container_title |
Морской биологический журнал |
| authorswithroles_txt_mv |
E. V. Likhoshway @@aut@@ |
| publishDateDaySort_date |
2017-01-01T00:00:00Z |
| hierarchy_top_id |
1760636169 |
| id |
DOAJ045681902 |
| language_de |
englisch russisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ045681902</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308094435.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.21072/mbj.2017.02.4.01</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ045681902</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ5065e49f6775479eb082a3ab90468d86</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield><subfield code="a">rus</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH301-705.5</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">E. V. Likhoshway</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Actual trends in water ecosystem biology development</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">oceans systems biology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">“-omics”</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">signaling</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Biology (General)</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Морской биологический журнал</subfield><subfield code="d">A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, 2018</subfield><subfield code="g">2(2017), 4</subfield><subfield code="w">(DE-627)1760636169</subfield><subfield code="x">24999776</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:2</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:4</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.21072/mbj.2017.02.4.01</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/5065e49f6775479eb082a3ab90468d86</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://marine-biology.ru/mbj/article/view/92</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2499-9768</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2499-9776</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">2</subfield><subfield code="j">2017</subfield><subfield code="e">4</subfield></datafield></record></collection>
|
| callnumber-first |
Q - Science |
| author |
E. V. Likhoshway |
| spellingShingle |
E. V. Likhoshway misc QH301-705.5 misc oceans systems biology misc “-omics” misc big data misc signaling misc Biology (General) Actual trends in water ecosystem biology development |
| authorStr |
E. V. Likhoshway |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)1760636169 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
DOAJ |
| remote_str |
true |
| callnumber-label |
QH301-705 |
| illustrated |
Not Illustrated |
| issn |
24999776 |
| topic_title |
QH301-705.5 Actual trends in water ecosystem biology development oceans systems biology “-omics” big data signaling |
| topic |
misc QH301-705.5 misc oceans systems biology misc “-omics” misc big data misc signaling misc Biology (General) |
| topic_unstemmed |
misc QH301-705.5 misc oceans systems biology misc “-omics” misc big data misc signaling misc Biology (General) |
| topic_browse |
misc QH301-705.5 misc oceans systems biology misc “-omics” misc big data misc signaling misc Biology (General) |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
Морской биологический журнал |
| hierarchy_parent_id |
1760636169 |
| hierarchy_top_title |
Морской биологический журнал |
| isfreeaccess_txt |
true |
| familylinks_str_mv |
(DE-627)1760636169 |
| title |
Actual trends in water ecosystem biology development |
| ctrlnum |
(DE-627)DOAJ045681902 (DE-599)DOAJ5065e49f6775479eb082a3ab90468d86 |
| title_full |
Actual trends in water ecosystem biology development |
| author_sort |
E. V. Likhoshway |
| journal |
Морской биологический журнал |
| journalStr |
Морской биологический журнал |
| callnumber-first-code |
Q |
| lang_code |
eng rus |
| isOA_bool |
true |
| recordtype |
marc |
| publishDateSort |
2017 |
| contenttype_str_mv |
txt |
| author_browse |
E. V. Likhoshway |
| container_volume |
2 |
| class |
QH301-705.5 |
| format_se |
Elektronische Aufsätze |
| author-letter |
E. V. Likhoshway |
| doi_str_mv |
10.21072/mbj.2017.02.4.01 |
| title_sort |
actual trends in water ecosystem biology development |
| callnumber |
QH301-705.5 |
| title_auth |
Actual trends in water ecosystem biology development |
| abstract |
This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole. |
| abstractGer |
This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole. |
| abstract_unstemmed |
This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ |
| container_issue |
4 |
| title_short |
Actual trends in water ecosystem biology development |
| url |
https://doi.org/10.21072/mbj.2017.02.4.01 https://doaj.org/article/5065e49f6775479eb082a3ab90468d86 https://marine-biology.ru/mbj/article/view/92 https://doaj.org/toc/2499-9768 https://doaj.org/toc/2499-9776 |
| remote_bool |
true |
| ppnlink |
1760636169 |
| callnumber-subject |
QH - Natural History and Biology |
| mediatype_str_mv |
c |
| isOA_txt |
true |
| hochschulschrift_bool |
false |
| doi_str |
10.21072/mbj.2017.02.4.01 |
| callnumber-a |
QH301-705.5 |
| up_date |
2024-07-03T16:23:35.282Z |
| _version_ |
1803575692165644288 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ045681902</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308094435.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.21072/mbj.2017.02.4.01</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ045681902</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ5065e49f6775479eb082a3ab90468d86</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield><subfield code="a">rus</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH301-705.5</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">E. V. Likhoshway</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Actual trends in water ecosystem biology development</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This synopsis characterizes new trends in oceanology arising for the last some years as a result of practical application of actual methods in data obtaining and processing. First of all, these are methods of massive parallel sequencing, “-omics” and bioinformatics methods of data storage and analysis. Identifying biologically active substances in water environment and results of laboratory-based experiments show the existence of molecular signal transduction both at the level of population and interspecies relations between microorganisms and at the level of their trophic connections. “From molecules to ecosystem” – is an actual trend in biology of marine ecosystems. Unification and analysis of large databases including space imagery and “cloud” technologies created a new trend of research in ecoinformatics; this allows to understand structural-functional organization of water ecosystems as a whole.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">oceans systems biology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">“-omics”</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">signaling</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Biology (General)</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Морской биологический журнал</subfield><subfield code="d">A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, 2018</subfield><subfield code="g">2(2017), 4</subfield><subfield code="w">(DE-627)1760636169</subfield><subfield code="x">24999776</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:2</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:4</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.21072/mbj.2017.02.4.01</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/5065e49f6775479eb082a3ab90468d86</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://marine-biology.ru/mbj/article/view/92</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2499-9768</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2499-9776</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">2</subfield><subfield code="j">2017</subfield><subfield code="e">4</subfield></datafield></record></collection>
|
| score |
7.4013014 |