- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1751-7370
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Benchmarking microbial growth rate predictions from metagenomes ; volume:15 ; number:1 ; day:16 ; month:9 ; year:2020 ; pages:183-195 ; date:1.2021
The ISME journal / International Society for Microbial Ecology ; 15, Heft 1 (16.9.2020), 183-195, 1.2021
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41396-020-00773-1
- URN
-
urn:nbn:de:101:1-2021020120545243531581
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:27 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Long, Andrew M.
- Hou, Shengwei
- Ignacio-Espinoza, J. Cesar
- Fuhrman, Jed A.
- SpringerLink (Online service)
Other Objects (12)
CAMISIM: simulating metagenomes and microbial communities
Improvement of eukaryotic protein predictions from soil metagenomes
Depth-dependent microbial metagenomes sampled in the northeastern Indian Ocean
Microbial communities and metagenomes in methane-rich deep coastal sediments
Publisher Correction: Marine microbial metagenomes sampled across space and time
Assessing the polysaccharide degradation potential in marine microbial genomes and metagenomes
Mining metagenomes reveals diverse antibiotic biosynthetic genes in uncultured microbial communities
Computational methods for the identification and quantification of microbial organisms in metagenomes
Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes
Diversity of Nonribosomal Peptide Synthetase Genes in the Microbial Metagenomes of Marine Sponges
Benchmarking AlphaFold ‐enabled molecular docking predictions for antibiotic discovery
Freshwater microbial metagenomes sampled across different water body characteristics, space and time in Israel
CAMISIM: simulating metagenomes and microbial communities
Improvement of eukaryotic protein predictions from soil metagenomes
Depth-dependent microbial metagenomes sampled in the northeastern Indian Ocean
Microbial communities and metagenomes in methane-rich deep coastal sediments
Publisher Correction: Marine microbial metagenomes sampled across space and time
Assessing the polysaccharide degradation potential in marine microbial genomes and metagenomes
Mining metagenomes reveals diverse antibiotic biosynthetic genes in uncultured microbial communities
Computational methods for the identification and quantification of microbial organisms in metagenomes
Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes
Diversity of Nonribosomal Peptide Synthetase Genes in the Microbial Metagenomes of Marine Sponges
Benchmarking AlphaFold ‐enabled molecular docking predictions for antibiotic discovery
Freshwater microbial metagenomes sampled across different water body characteristics, space and time in Israel
CAMISIM: simulating metagenomes and microbial communities
Improvement of eukaryotic protein predictions from soil metagenomes
Depth-dependent microbial metagenomes sampled in the northeastern Indian Ocean
Microbial communities and metagenomes in methane-rich deep coastal sediments
Publisher Correction: Marine microbial metagenomes sampled across space and time
Assessing the polysaccharide degradation potential in marine microbial genomes and metagenomes
Mining metagenomes reveals diverse antibiotic biosynthetic genes in uncultured microbial communities
Computational methods for the identification and quantification of microbial organisms in metagenomes
Regulation of rumen development in neonatal ruminants through microbial metagenomes and host transcriptomes
Diversity of Nonribosomal Peptide Synthetase Genes in the Microbial Metagenomes of Marine Sponges
Benchmarking AlphaFold ‐enabled molecular docking predictions for antibiotic discovery