Results 201 to 210 of about 1,283,302 (227)

Community-driven updates for comprehensive long-read metagenomics and enhanced binning in nf-core/mag v5. [PDF]

Bioinformatics
Alvarez Saravia D, Rosenbaum A, Straub D, Downie J, Borry M, Fedewa G, Hübner A, Lundin D, Yepes-García J, McDonald J, Nahnsen S, Köhn L, Uribe-Paredes R, Navarrete MA, Warinner C, nf-core community, Fellows Yates JA.   +16 more
europepmc   +1 more source

Genome-Resolved Metagenomics Reveals Thermophilic Microbial Diversity and Putative Hydrolase-Encoding Genes in the El Tatio Geothermal Field. [PDF]

Int J Mol Sci
Valenzuela B, Navarrete-Diaz I, Cayo M, Solís-Cornejo F, Zamorano P.   +4 more
europepmc   +1 more source

Metagenome-assembled genomes for N₂-fixing cyanobacterium <i>Nostoc</i> sp. TISTR 8405 and co-occurring microorganisms from a long-term laboratory culture. [PDF]

Microbiol Resour Announc
Sukkasam N, Liu TX, Dofher K, Monshupanee T, Hallam SJ.   +4 more
europepmc   +1 more source

Metagenome-assembled genomes from the temperate forest phyllosphere in Eastern Canada. [PDF]

Access Microbiol
Ross DAN, Lauzon J, Makarenkov V, Kembel SW.   +3 more
europepmc   +1 more source

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Metagenomic Assembly: Reconstructing Genomes from Metagenomes

2021
Assembly of metagenomic sequence data into microbial genomes is of critical importance for disentangling community complexity and unraveling the functional capacity of microorganisms. The rapid development of sequencing technology and novel assembly algorithms have made it possible to reliably reconstruct hundreds to thousands of microbial genomes from
Wang Z., Liang J. -L., Huang L. -N., Mengoni A., Shu W. -S.   +4 more
openaire   +3 more sources

Using De Novo Metagenome Assembly for Improved Metagenomic Classification

2023 46th MIPRO ICT and Electronics Convention (MIPRO), 2023
Metagenomics is a rapidly growing field that allows for studying complex microbial communities. One of the first steps in the metagenomic analysis is the classification of the organisms present in a sample. This is usually done by comparing sequencing reads to a database of known organisms.
Križanović, Krešimir, Lipovac, Josipa
exaly   +3 more sources

Genovo: De Novo Assembly for Metagenomes

Journal of Computational Biology, 2010
Abstract Next-generation sequencing technologies produce a large number of noisy reads from the DNA in a sample. Metagenomics and population sequencing aim to recover the genomic sequences of the species in the sample, which could be of high diversity.
Jonathan Laserson, Vladimir Jojic, Daphne Koller   +2 more
openaire   +3 more sources

Metagenome Assembly and Contig Assignment

Methods in Molecular Biology, 2018
The recent development of metagenomic assembly has revolutionized metagenomic data analysis, thanks to the improvement of sequencing techniques, more powerful computational infrastructure and the development of novel algorithms and methods. Using longer assembled contigs rather than raw reads improves the process of metagenomic binning and annotation ...
exaly   +3 more sources

Practical evaluation of 11 de novo assemblers in metagenome assembly

Journal of Microbiological Methods, 2018
Next Generation Sequencing (NGS) technologies are revolutionizing the field of biology and metagenomic-based research. Since the volume of metagenomic data is typically very large, De novo metagenomic assembly can be effectively used to reduce the total amount of data and enhance quality of downstream analysis, such as annotation and binning. Although,
Esmaeil Forouzan, Ali Asghar Karkhane, Parvin Shariati   +2 more
exaly   +3 more sources

Invited: Challenges in metagenomic assembly

2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2011
Genome assembly research has been ‘reborn’ in recent years, in part due to rapid advances in sequencing technologies, but also due to the application of assembly to non-traditional tasks. Here we overview some of the challenges to genome assembly posed by data generated by metagenomic experiments.
openaire   +1 more source