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Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model bu...

Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model bu...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4ed1f63f1cd462cb4caab05228e9338

Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model built on alignment-free intra-bin statistics

About this item

Full title

Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model built on alignment-free intra-bin statistics

Publisher

England: BioMed Central Ltd

Journal title

Environmental microbiome, 2022-03, Vol.17 (1), p.9-13, Article 9

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Although the total number of microbial taxa on Earth is under debate, it is clear that only a small fraction of these has been cultivated and validly named. Evidently, the inability to culture most bacteria outside of very specific conditions severely limits their characterization and further studies. In the last decade, a major part of the solutio...

Alternative Titles

Full title

Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model built on alignment-free intra-bin statistics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e4ed1f63f1cd462cb4caab05228e9338

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4ed1f63f1cd462cb4caab05228e9338

Other Identifiers

ISSN

2524-6372

E-ISSN

2524-6372

DOI

10.1186/s40793-022-00403-7

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