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Metagenomic DNA data
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Screening and expression of new β-glucosidase genes (bgc) have attracted much attention because of their valuable application in a wide range of industrial areas such as bioethanol production, food and animal feed processing, paper making, and biotechnological processes.
10p
vicaptainmarvel
21-04-2023
2
2
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Glycoside Hydrolase family 5 (GH5) members share a broad range of enzymatic activities on oligosaccharides, polysaccharides and glycoconjugates from a wide range of species. The subfamily 4 (GH5-4) is enriched in some broad-specificity endo-β-1,4-endoglucanases (EG).
10p
vicaptainmarvel
21-04-2023
2
2
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In a previous study, a gene GL0694641 coding for endoglucanase containing 3 domains GH5- CBM72-CBM72 was exploited from metagenomic DNA data of bacteria in Vietnamese goats’ rumen. The gene (eg5) encoding the mature enzyme (without signal peptide coding sequence) was optimized codons, artificially synthesized, and inserted into the pET22b(+) vector at NcoI and XhoI to generate expression vector pET22-eg5 for expression of the gene in Eschrichia coli.
11p
vicaptainmarvel
21-04-2023
5
2
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Cellobiohydrolase (EC 3.2.1.91) is one of the important enzymes involved in cellulose hydrolysis. In this study, the gene sequences encoding cellobiohydrolase were extracted from the metagenome DNA data of microorganisms surrounding white-rot fungi in Cuc Phuong National Park based on the KEGG database. 73 ORFs encoding cellobiohydrolase were obtained, of which 15 ORFs contained complete genes, 6 ORFs with functional regions.
8p
vineville
08-02-2023
5
1
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Genomes computationally inferred from large metagenomic data sets are often incomplete and may be missing functionally important content and strain variation. We introduce an information retrieval system for large metagenomic data sets that exploits the sparsity of DNA assembly graphs to efficiently extract subgraphs surrounding an inferred genome.
16p
viarchimedes
26-01-2022
6
0
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Expression screening of environmental DNA (eDNA) libraries is a popular approach for the identification and characterization of novel microbial enzymes with promising biotechnological properties. In such “functional metagenomics” experiments, inserts, selected on the basis of activity assays, are sequenced with high throughput sequencing technologies. Assembly is followed by gene prediction, annotation and identification of candidate genes that are subsequently evaluated for biotechnological applications.
10p
vilarryellison
29-10-2021
9
1
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Exploration of large data sets, such as shotgun metagenomic sequence or expression data, by biomedical experts and medical professionals remains as a major bottleneck in the scientific discovery process. Although tools for this purpose exist for 16S ribosomal RNA sequencing analysis, there is a growing but still insufficient number of user-friendly interactive visualization workflows for easy data exploration and figure generation. The development of such platforms for this purpose is necessary to accelerate and streamline microbiome laboratory research.
11p
vibeauty
23-10-2021
10
1
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In shotgun metagenomics, microbial communities are studied through direct sequencing of DNA without any prior cultivation. By comparing gene abundances estimated from the generated sequencing reads, functional differences between the communities can be identified. However, gene abundance data is affected by high levels of systematic variability, which can greatly reduce the statistical power and introduce false positives. Normalization, which is the process where systematic variability is identified and removed, is therefore a vital part of the data analysis.
17p
vibeauty
23-10-2021
10
2
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Reducing the effects of sequencing errors and PCR artifacts has emerged as an essential component in amplicon-based metagenomic studies. Denoising algorithms have been designed that can reduce error rates in mock community data, but they change the sequence data in a manner that can be inconsistent with the process of removing errors in studies of real communities.
9p
vikentucky2711
24-11-2020
11
2
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Metagenomics, the sequencing of DNA collected from an entire microbial community, enables the study of natural microbial consortia in their native habitats. Metagenomics studies produce huge volumes of data, including both the sequences themselves and metadata describing their abundance, assembly, predicted functional characteristics and environmental parameters.
8p
vikentucky2711
24-11-2020
9
2
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For single-cell or metagenomic sequencing projects, it is necessary to sequence with a very high mean coverage in order to make sure that all parts of the sample DNA get covered by the reads produced. This leads to huge datasets with lots of redundant data.
11p
viflorida2711
30-10-2020
12
2
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In this study, using the Alcapred software, the metagenomic DNA sequences of the gut flora of Coptotermes gestroi were analyzed to identify the enzymes that were specifically adapted to alkaline condition. The results show that 737 of 943 ORFs (accounting for 72%) encoded proteases, 154 of 214 ORFs (holding 78%) encoded lipases and 338 of 575 ORFs (accounting for 59%) encoded cellulase and hemicelluase.
10p
jangni
16-04-2018
23
0
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