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Феранчук, Сергей
Белкова, Наталия
Потапова, Ульяна
Кузьмин, Дмитрий
Беликов, Сергей
2019-07-01T07:30:01Z
2019-07-01T07:30:01Z
2018-05
Феранчук, Сергей. Evaluating the use of diversity indices to distinguish between microbial communities with different traits [Текст] / Сергей Феранчук, Наталия Белкова, Ульяна Потапова, Дмитрий Кузьмин, Сергей Беликов // Research in Microbiology. — 2018. — Т. 169 (4–5). — С. 254-261
09232508
https://reader.elsevier.com/reader/sd/540C8EEAC7A4F1D96C300BE0C51F58A40CDFD5C748C959A65048243BA9F0C2798F955A5E9FDBE993A4897A20C21F1083
https://elib.sfu-kras.ru/handle/2311/111481
Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала.
Several measures of biodiversity are commonly used to describe microbial communities, analyzed using 16S gene sequencing. A wide range of available experiments on 16S gene sequencing allows us to present a framework for a comparison of various diversity indices. The criterion for the comparison is the statistical significance of the difference in index values for microbial communities with different traits, within the same experiment. The results of the evaluation indicate that Shannon diversity is the most effective measure among the commonly used diversity indices. The results also indicate that, within the present framework, the Gini coefficient as a diversity index is comparable to Shannon diversity, despite the fact that the Gini coefficient, as a diversity estimator, is far less popular in microbiology than several other measures.
Ecosystem
Metagenomics
RNA
Ribosomal 16s
Model
Evaluating the use of diversity indices to distinguish between microbial communities with different traits
Journal Article
Published Journal Article
254-261
34.03.23
2019-07-01T07:30:01Z
10.1016/j.resmic.2018.03.004
Институт космических и информационных технологий
Кафедра высокопроизводительных вычислений
Research in Microbiology
Q2
Q3


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