Next-Generation Metagenomics: Methodological Challenges and Opportunities-Reference-Cited by-同舟云学术

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Next-Generation Metagenomics: Methodological Challenges and Opportunities

Published:2019-07 Issue:7 Volume:23 Page:327-333
ISSN:1557-8100
Container-title:OMICS: A Journal of Integrative Biology
language:en
Short-container-title:OMICS: A Journal of Integrative Biology

Author:

Laudadio Ilaria¹,Fulci Valerio¹,Stronati Laura¹,Carissimi Claudia¹

Affiliation:

1. Department of Molecular Medicine, “Sapienza” University of Rome, Rome, Italy.

Publisher

Mary Ann Liebert Inc

Subject

Genetics,Molecular Biology,Molecular Medicine,Biochemistry,Biotechnology

Link

https://www.liebertpub.com/doi/pdf/10.1089/omi.2019.0073

Reference97 articles.

1. MetaVelvet-SL: an extension of the Velvet assembler to a de novo metagenomic assembler utilizing supervised learning

2. CNN-MGP: Convolutional Neural Networks for Metagenomics Gene Prediction

3. Genomes from uncultivated prokaryotes: a comparison of metagenome-assembled and single-amplified genomes

4. Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data: Fig. 1.

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4. Metagenomic evaluation of peanut rhizosphere microbiome from the farms of Saurashtra regions of Gujarat, India;Scientific Reports;2024-05-08

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