Additional file 5: of Genomic and metatranscriptomic analyses of carbon remineralization in an Antarctic polynya

Table S5. Information for the 500 most abundant genes in 12 genomes based on metatranscriptome data (a, PK; b, DC; and c, SI). Genes related to ribosome and mitochondrial biogenesis classified by KEGG and hypothetical proteins are marked in gray. (Excel) (XLSX 109 kb)

Bibliographic Details
Main Authors: So-Jeong Kim, Jong-Geol Kim, Lee, Sang-Hoon, Soo-Je Park, Gwak, Joo-Han, Jung, Man-Young, Won-Hyung Chung, Yang, Eun-Jin, Jisoo Park, Jinyoung Jung, Yoonsoo Hahn, Jang-Cheon Cho, Madsen, Eugene, Rodriguez-Valera, Francisco, Hyun, Jung-Ho, Sung-Keun Rhee
Format: Dataset
Language:unknown
Published: figshare 2019
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.7750709.v1
https://springernature.figshare.com/articles/Additional_file_5_of_Genomic_and_metatranscriptomic_analyses_of_carbon_remineralization_in_an_Antarctic_polynya/7750709/1
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spelling ftdatacite:10.6084/m9.figshare.7750709.v1 2023-05-15T13:32:31+02:00 Additional file 5: of Genomic and metatranscriptomic analyses of carbon remineralization in an Antarctic polynya So-Jeong Kim Jong-Geol Kim Lee, Sang-Hoon Soo-Je Park Gwak, Joo-Han Jung, Man-Young Won-Hyung Chung Yang, Eun-Jin Jisoo Park Jinyoung Jung Yoonsoo Hahn Jang-Cheon Cho Madsen, Eugene Rodriguez-Valera, Francisco Hyun, Jung-Ho Sung-Keun Rhee 2019 https://dx.doi.org/10.6084/m9.figshare.7750709.v1 https://springernature.figshare.com/articles/Additional_file_5_of_Genomic_and_metatranscriptomic_analyses_of_carbon_remineralization_in_an_Antarctic_polynya/7750709/1 unknown figshare https://dx.doi.org/10.1186/s40168-019-0643-4 https://dx.doi.org/10.6084/m9.figshare.7750709 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Microbiology FOS Biological sciences Genetics Molecular Biology 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology 69999 Biological Sciences not elsewhere classified Marine Biology Plant Biology dataset Dataset 2019 ftdatacite https://doi.org/10.6084/m9.figshare.7750709.v1 https://doi.org/10.1186/s40168-019-0643-4 https://doi.org/10.6084/m9.figshare.7750709 2021-11-05T12:55:41Z Table S5. Information for the 500 most abundant genes in 12 genomes based on metatranscriptome data (a, PK; b, DC; and c, SI). Genes related to ribosome and mitochondrial biogenesis classified by KEGG and hypothetical proteins are marked in gray. (Excel) (XLSX 109 kb) Dataset Antarc* Antarctic DataCite Metadata Store (German National Library of Science and Technology) Antarctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Microbiology
FOS Biological sciences
Genetics
Molecular Biology
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
69999 Biological Sciences not elsewhere classified
Marine Biology
Plant Biology
spellingShingle Microbiology
FOS Biological sciences
Genetics
Molecular Biology
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
69999 Biological Sciences not elsewhere classified
Marine Biology
Plant Biology
So-Jeong Kim
Jong-Geol Kim
Lee, Sang-Hoon
Soo-Je Park
Gwak, Joo-Han
Jung, Man-Young
Won-Hyung Chung
Yang, Eun-Jin
Jisoo Park
Jinyoung Jung
Yoonsoo Hahn
Jang-Cheon Cho
Madsen, Eugene
Rodriguez-Valera, Francisco
Hyun, Jung-Ho
Sung-Keun Rhee
Additional file 5: of Genomic and metatranscriptomic analyses of carbon remineralization in an Antarctic polynya
topic_facet Microbiology
FOS Biological sciences
Genetics
Molecular Biology
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
69999 Biological Sciences not elsewhere classified
Marine Biology
Plant Biology
description Table S5. Information for the 500 most abundant genes in 12 genomes based on metatranscriptome data (a, PK; b, DC; and c, SI). Genes related to ribosome and mitochondrial biogenesis classified by KEGG and hypothetical proteins are marked in gray. (Excel) (XLSX 109 kb)
format Dataset
author So-Jeong Kim
Jong-Geol Kim
Lee, Sang-Hoon
Soo-Je Park
Gwak, Joo-Han
Jung, Man-Young
Won-Hyung Chung
Yang, Eun-Jin
Jisoo Park
Jinyoung Jung
Yoonsoo Hahn
Jang-Cheon Cho
Madsen, Eugene
Rodriguez-Valera, Francisco
Hyun, Jung-Ho
Sung-Keun Rhee
author_facet So-Jeong Kim
Jong-Geol Kim
Lee, Sang-Hoon
Soo-Je Park
Gwak, Joo-Han
Jung, Man-Young
Won-Hyung Chung
Yang, Eun-Jin
Jisoo Park
Jinyoung Jung
Yoonsoo Hahn
Jang-Cheon Cho
Madsen, Eugene
Rodriguez-Valera, Francisco
Hyun, Jung-Ho
Sung-Keun Rhee
author_sort So-Jeong Kim
title Additional file 5: of Genomic and metatranscriptomic analyses of carbon remineralization in an Antarctic polynya
title_short Additional file 5: of Genomic and metatranscriptomic analyses of carbon remineralization in an Antarctic polynya
title_full Additional file 5: of Genomic and metatranscriptomic analyses of carbon remineralization in an Antarctic polynya
title_fullStr Additional file 5: of Genomic and metatranscriptomic analyses of carbon remineralization in an Antarctic polynya
title_full_unstemmed Additional file 5: of Genomic and metatranscriptomic analyses of carbon remineralization in an Antarctic polynya
title_sort additional file 5: of genomic and metatranscriptomic analyses of carbon remineralization in an antarctic polynya
publisher figshare
publishDate 2019
url https://dx.doi.org/10.6084/m9.figshare.7750709.v1
https://springernature.figshare.com/articles/Additional_file_5_of_Genomic_and_metatranscriptomic_analyses_of_carbon_remineralization_in_an_Antarctic_polynya/7750709/1
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_relation https://dx.doi.org/10.1186/s40168-019-0643-4
https://dx.doi.org/10.6084/m9.figshare.7750709
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.7750709.v1
https://doi.org/10.1186/s40168-019-0643-4
https://doi.org/10.6084/m9.figshare.7750709
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