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A framework for the computational prediction and analysis of non-coding RNAs in microbial environmen...

A framework for the computational prediction and analysis of non-coding RNAs in microbial environmen...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7368042

A framework for the computational prediction and analysis of non-coding RNAs in microbial environmental populations and their experimental validation

About this item

Full title

A framework for the computational prediction and analysis of non-coding RNAs in microbial environmental populations and their experimental validation

Publisher

London: Nature Publishing Group UK

Journal title

The ISME Journal, 2020-08, Vol.14 (8), p.1955-1965

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Small regulatory RNAs and antisense RNAs play important roles in the regulation of gene expression in bacteria but are underexplored, especially in natural populations. While environmentally relevant microbes often are not amenable to genetic manipulation or cannot be cultivated in the laboratory, extensive metagenomic and metatranscriptomic datase...

Alternative Titles

Full title

A framework for the computational prediction and analysis of non-coding RNAs in microbial environmental populations and their experimental validation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7368042

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7368042

Other Identifiers

ISSN

1751-7362

E-ISSN

1751-7370

DOI

10.1038/s41396-020-0658-7

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