The National Microbiome Data Collaborative Data Portal: an integrated multi-omics microbiome data resource. Issue Volume 50:Issue D1(2022) (30th October 2021)
- Record Type:
- Journal Article
- Title:
- The National Microbiome Data Collaborative Data Portal: an integrated multi-omics microbiome data resource. Issue Volume 50:Issue D1(2022) (30th October 2021)
- Main Title:
- The National Microbiome Data Collaborative Data Portal: an integrated multi-omics microbiome data resource
- Authors:
- Eloe-Fadrosh, Emiley A
Ahmed, Faiza
, Anubhav
Babinski, Michal
Baumes, Jeffrey
Borkum, Mark
Bramer, Lisa
Canon, Shane
Christianson, Danielle S
Corilo, Yuri E
Davenport, Karen W
Davis, Brandon
Drake, Meghan
Duncan, William D
Flynn, Mark C
Hays, David
Hu, Bin
Huntemann, Marcel
Kelliher, Julia
Lebedeva, Sofya
Li, Po-E
Lipton, Mary
Lo, Chien-Chi
Martin, Stanton
Millard, David
Miller, Kayd
Miller, Mark A
Piehowski, Paul
Jackson, Elais Player
Purvine, Samuel
Reddy, T B K
Richardson, Rachel
Rudolph, Marisa
Sarrafan, Setareh
Shakya, Migun
Smith, Montana
Stratton, Kelly
Sundaramurthi, Jagadish Chandrabose
Vangay, Pajau
Winston, Donald
Wood-Charlson, Elisha M
Xu, Yan
Chain, Patrick S G
McCue, Lee Ann
Mans, Douglas
Mungall, Christopher J
Mouncey, Nigel J
Fagnan, Kjiersten
… (more) - Abstract:
- Abstract: The National Microbiome Data Collaborative (NMDC) Data Portal (https://data.microbiomedata.org ) supports microbiome multi-omics data exploration and access through an integrated, distributed data framework aligned with the FAIR (Findable, Accessible, Interoperable and Reusable) data principles (1 ). The NMDC Data Portal currently hosts 10.2 terabytes of multi-omics microbiome data, spanning five data types (metagenomes, metatranscriptomes, metaproteomes, metabolomes, and natural organic matter characterizations), generated at two Department of Energy User Facilities, the Joint Genome Institute (JGI) at Lawrence Berkeley National Laboratory (LBNL) and the Environmental Molecular Systems Laboratory (EMSL) at Pacific Northwest National Laboratory (PNNL). A flexible data schema (https://github.com/microbiomedata/nmdc-schema ) leveraging community-driven standards underpins how data is managed and integrated. Annotated multi-omic data products are produced by the NMDC workflows and linked through common biosamples to enable search capabilities based on environmental context, instrumentation, and functional attributes. As a pilot system, the NMDC Data Portal offers download capabilities and several search components, including interactive geographic visualization of samples; environmental classification distribution visualized through an interactive Sankey diagram; time-series slider to select longitudinal samples of interest; and an upset plot displaying the number ofAbstract: The National Microbiome Data Collaborative (NMDC) Data Portal (https://data.microbiomedata.org ) supports microbiome multi-omics data exploration and access through an integrated, distributed data framework aligned with the FAIR (Findable, Accessible, Interoperable and Reusable) data principles (1 ). The NMDC Data Portal currently hosts 10.2 terabytes of multi-omics microbiome data, spanning five data types (metagenomes, metatranscriptomes, metaproteomes, metabolomes, and natural organic matter characterizations), generated at two Department of Energy User Facilities, the Joint Genome Institute (JGI) at Lawrence Berkeley National Laboratory (LBNL) and the Environmental Molecular Systems Laboratory (EMSL) at Pacific Northwest National Laboratory (PNNL). A flexible data schema (https://github.com/microbiomedata/nmdc-schema ) leveraging community-driven standards underpins how data is managed and integrated. Annotated multi-omic data products are produced by the NMDC workflows and linked through common biosamples to enable search capabilities based on environmental context, instrumentation, and functional attributes. As a pilot system, the NMDC Data Portal offers download capabilities and several search components, including interactive geographic visualization of samples; environmental classification distribution visualized through an interactive Sankey diagram; time-series slider to select longitudinal samples of interest; and an upset plot displaying the number of multi-omics data generated from the same biosample within a study. … (more)
- Is Part Of:
- Nucleic acids research. Volume 50:Issue D1(2022)
- Journal:
- Nucleic acids research
- Issue:
- Volume 50:Issue D1(2022)
- Issue Display:
- Volume 50, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 50
- Issue:
- 1
- Issue Sort Value:
- 2022-0050-0001-0000
- Page Start:
- D828
- Page End:
- D836
- Publication Date:
- 2021-10-30
- Subjects:
- Nucleic acids -- Periodicals
Molecular biology -- Periodicals
572.805 - Journal URLs:
- http://nar.oxfordjournals.org/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/4 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/nar/gkab990 ↗
- Languages:
- English
- ISSNs:
- 0305-1048
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6183.850000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26878.xml