دورية أكاديمية

happi: a hierarchical approach to pangenomics inference

التفاصيل البيبلوغرافية
العنوان: happi: a hierarchical approach to pangenomics inference
المؤلفون: Pauline Trinh, David S. Clausen, Amy D. Willis
المصدر: Genome Biology, Vol 24, Iss 1, Pp 1-15 (2023)
بيانات النشر: BMC, 2023.
سنة النشر: 2023
المجموعة: LCC:Biology (General)
LCC:Genetics
مصطلحات موضوعية: Shotgun metagenomics, Metagenome-assembled genomes, Microbiome, Statistical models, Hypothesis testing, Biology (General), QH301-705.5, Genetics, QH426-470
الوصف: Abstract Recovering metagenome-assembled genomes (MAGs) from shotgun sequencing data is an increasingly common task in microbiome studies, as MAGs provide deeper insight into the functional potential of both culturable and non-culturable microorganisms. However, metagenome-assembled genomes vary in quality and may contain omissions and contamination. These errors present challenges for detecting genes and comparing gene enrichment across sample types. To address this, we propose happi, an approach to testing hypotheses about gene enrichment that accounts for genome quality. We illustrate the advantages of happi over existing approaches using published Saccharibacteria MAGs, Streptococcus thermophilus MAGs, and via simulation.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1474-760X
Relation: https://doaj.org/toc/1474-760X
DOI: 10.1186/s13059-023-03040-6
URL الوصول: https://doaj.org/article/6f73b8bc342d44ea829ff6fba2400e07
رقم الأكسشن: edsdoj.6f73b8bc342d44ea829ff6fba2400e07
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1474760X
DOI:10.1186/s13059-023-03040-6