- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1474-760X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Prediction of effective genome size in metagenomic samples ; volume:8 ; number:1 ; day:15 ; month:01 ; year:2007 ; pages:1-11 ; date:1.2007
Genome biology ; 8, Heft 1 (15.01.2007), 1-11, 1.2007
- Urheber
-
Raes, Jeroen
- Beteiligte Personen und Organisationen
- DOI
-
10.1186/gb-2007-8-1-r10
- URN
-
urn:nbn:de:1111-2016050140595
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:50 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Raes, Jeroen
- Korbel, Jan O.
- Lercher, Martin J.
- von Mering, Christian
- Bork, Peer
- SpringerLink (Online service)
Ähnliche Objekte (12)
Comparison of metagenomic samples using sequence signatures
Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis
MetaGen: reference-free learning with multiple metagenomic samples
Factors driving effective population size and pan-genome evolution in bacteria
A framework for space-efficient read clustering in metagenomic samples
Computational workflow for the fine-grained analysis of metagenomic samples
BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis
Haplotype-based inference of recent effective population size in modern and ancient DNA samples
Bioinformatics analysis of whole-genome shotgun metagenomic data
Genomic and metagenomic application of microbial genome signatures
Towards predicting the geographical origin of ancient samples with metagenomic data
Unified metagenomic method for rapid detection of microorganisms in clinical samples
Comparison of metagenomic samples using sequence signatures
Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis
MetaGen: reference-free learning with multiple metagenomic samples
Factors driving effective population size and pan-genome evolution in bacteria
A framework for space-efficient read clustering in metagenomic samples
Computational workflow for the fine-grained analysis of metagenomic samples
BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis
Haplotype-based inference of recent effective population size in modern and ancient DNA samples
Bioinformatics analysis of whole-genome shotgun metagenomic data
Genomic and metagenomic application of microbial genome signatures
Towards predicting the geographical origin of ancient samples with metagenomic data
Unified metagenomic method for rapid detection of microorganisms in clinical samples
Comparison of metagenomic samples using sequence signatures
Picodroplet partitioned whole genome amplification of low biomass samples preserves genomic diversity for metagenomic analysis
MetaGen: reference-free learning with multiple metagenomic samples
Factors driving effective population size and pan-genome evolution in bacteria
A framework for space-efficient read clustering in metagenomic samples
Computational workflow for the fine-grained analysis of metagenomic samples
BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis
Haplotype-based inference of recent effective population size in modern and ancient DNA samples
Bioinformatics analysis of whole-genome shotgun metagenomic data
Genomic and metagenomic application of microbial genome signatures
Towards predicting the geographical origin of ancient samples with metagenomic data