Results 21 to 30 of about 8,085 (125)

Use of Monte Carlo code MCS for multigroup cross section generation for fast reactor analysis

Nuclear Engineering and Technology, 2021
Multigroup cross section (MG XS) generation by the UNIST in-house Monte Carlo (MC) code MCS for fast reactor analysis using nodal diffusion codes is reported.
Tung Dong Cao Nguyen, Hyunsuk Lee, Deokjung Lee   +2 more
doaj   +1 more source

What we can see from very small size sample of metagenomic sequences

BMC Bioinformatics, 2018
Background Since the analysis of a large number of metagenomic sequences costs heavy computing resources and takes long time, we examined a selected small part of metagenomic sequences as “sample”s of the entire full sequences, both for a mock community ...
Jaesik Kwak, Joonhong Park
doaj   +1 more source

COMPARATIVE METAGENOMICS ANALYSIS OF PALM OIL MILL EFFLUENT (POME) USING THREE DIFFERENT BIOINFORMATICS PIPELINES

International Islamic University Malaysia Engineering Journal, 2019
: The substantial cost reduction and massive production of next-generation sequencing (NGS) data have contributed to the progress in the rapid growth of metagenomics. However, production of the massive amount of data by NGS has revealed the challenges in
Adibah parmen, MOHD NOOR MAT ISA, FARAH FADWA BENBELGACEM, Hamzah Mohd Salleh, Ibrahim Ali Noorbatcha   +4 more
doaj   +1 more source

Shotgun metagenomics reveals the functional diversity of root-associated endophytic microbiomes in maize plant

Current Plant Biology, 2021
In this study, we used shotgun metagenomics to analyze the whole DNA from maize root planted with different fertilization and without fertilization in a bid to profile the impact of fertilizer applications on the functional diversity of endophytic ...
Ayomide Emmanuel Fadiji, Ayansina Segun Ayangbenro, Olubukola Oluranti Babalola   +2 more
doaj   +1 more source

Additional file 2 of Core of the saliva microbiome: an analysis of the MG-RAST data

, 2021
Additional file 2: S2 - Microbiome core among Shotgun, Amplicon, and eHOMD. Text file with a list of genera belongs to the microbiome core among Shotgun metagenomics, Amplicon sequencing, and eHOMD.
Oliveira, Simone G., Nishiyama, Rafaela R., Trigo, Claudio A. C., Mattos-Guaraldi, Ana Luiza, Dávila, Alberto M. R., Jardim, Rodrigo, Aguiar, Flavio H. B.   +6 more
openaire   +1 more source

Amplicon sequencing based profiling of bacterial diversity from Krossfjorden, Arctic

Data in Brief, 2018
In this study, Illumina Miseq sequencing of 16S rRNA gene amplicon was performed on sediments collected from Krossfjorden, Arctic for analyzing the bacterial community structure.
Bhavya Kachiprath, Jayesh Puthumana, Jayanath Gopi, Solly Solomon, K.P. Krishnan, Rosamma Philip   +5 more
doaj   +1 more source

Additional file 1 of Core of the saliva microbiome: an analysis of the MG-RAST data

, 2021
Additional file 1: S1 - Microbiome core: Shotgun and Amplicon. Text file with a list of genera belongs to the microbiome core of Shotgun metagenomics and Amplicon sequencing.
Oliveira, Simone G., Nishiyama, Rafaela R., Trigo, Claudio A. C., Mattos-Guaraldi, Ana Luiza, Dávila, Alberto M. R., Jardim, Rodrigo, Aguiar, Flavio H. B.   +6 more
openaire   +1 more source

Taxonomy, Sequence Variance and Functional Profiling of the Microbial Community of Long-Ripened Cheddar Cheese Using Shotgun Metagenomics

Microorganisms, 2023
Shotgun metagenomic sequencing was used to investigate the diversity of the microbial community of Cheddar cheese ripened over 32 months. The changes in taxa abundance were compared from assembly-based, non-assembly-based, and mOTUs2 sequencing pipelines
Hassan Mahmoud Mohamed, Zoha Barzideh, Myra Siddiqi, Gisèle LaPointe   +3 more
doaj   +1 more source

Shotgun metagenomic sequencing based microbial diversity assessment of Lasundra hot spring, India

Genomics Data, 2015
This is the first report on the metagenomic approach for unveiling the microbial diversity of Lasundra hot spring, Gujarat State, India. High-throughput sequencing of community DNA was performed on an Ion Torrent PGM platform. Metagenome consisted of 606,
Amit V. Mangrola, Pravin Dudhagara, Prakash Koringa, C.G. Joshi, Rajesh K. Patel   +4 more
doaj   +1 more source

The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome

GigaScience, 2012
Background We present the Biological Observation Matrix (BIOM, pronounced “biome”) format: a JSON-based file format for representing arbitrary observation by sample contingency tables with associated sample and observation metadata.
McDonald Daniel, Clemente Jose C, Kuczynski Justin, Rideout Jai, Stombaugh Jesse, Wendel Doug, Wilke Andreas, Huse Susan, Hufnagle John, Meyer Folker, Knight Rob, Caporaso J   +11 more
doaj   +1 more source