collection
MENU ▼
Read by QxMD icon Read
search

metagenomic

shared collection
18 papers 0 to 25 followers
https://www.readbyqxmd.com/read/28079128/parallel-meta-3-comprehensive-taxonomical-and-functional-analysis-platform-for-efficient-comparison-of-microbial-communities
#1
Gongchao Jing, Zheng Sun, Honglei Wang, Yanhai Gong, Shi Huang, Kang Ning, Jian Xu, Xiaoquan Su
The number of metagenomes is increasing rapidly. However, current methods for metagenomic analysis are limited by their capability for in-depth data mining among a large number of microbiome each of which carries a complex community structure. Moreover, the complexity of configuring and operating computational pipeline also hinders efficient data processing for the end users. In this work we introduce Parallel-META 3, a comprehensive and fully automatic computational toolkit for rapid data mining among metagenomic datasets, with advanced features including 16S rRNA extraction for shotgun sequences, 16S rRNA copy number calibration, 16S rRNA based functional prediction, diversity statistics, bio-marker selection, interaction network construction, vector-graph-based visualization and parallel computing...
January 12, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28062856/rapid-resistome-mapping-using-nanopore-sequencing
#2
Eric van der Helm, Lejla Imamovic, Mostafa M Hashim Ellabaan, Willem van Schaik, Anna Koza, Morten O A Sommer
The emergence of antibiotic resistance in human pathogens has become a major threat to modern medicine. The outcome of antibiotic treatment can be affected by the composition of the gut. Accordingly, knowledge of the gut resistome composition could enable more effective and individualized treatment of bacterial infections. Yet, rapid workflows for resistome characterization are lacking. To address this challenge we developed the poreFUME workflow that deploys functional metagenomic selections and nanopore sequencing to resistome mapping...
January 6, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28063827/taxonomic-and-functional-diversity-of-a-coastal-planktonic-bacterial-community-in-a-river-influenced-marine-area
#3
Stefan Thiele, Michael Richter, Cecilia Balestra, Frank Oliver Glöckner, Raffaella Casotti
The Gulf of Naples is a dynamical area with intense exchanges between offshore oligotrophic and coastal eutrophic waters with frequent freshwater inputs. The Sarno River, one of the most polluted rivers in Europe, strongly contributes to the pollution of the area, discharging high amounts of heavy metals and organic wastes from heavily cultivated and industrial areas. This paper reports on the diversity and community structure of the marine residential Bacteria and Archaea of the Gulf of Naples in an area close to the river Sarno plume and investigates their small-scale taxonomic diversity and expression patterns as a proxy of potential metabolic activity using metagenomics and metatranscriptomics...
January 4, 2017: Marine Genomics
https://www.readbyqxmd.com/read/28066818/microbiome-helper-a-custom-and-streamlined-workflow-for-microbiome-research
#4
André M Comeau, Gavin M Douglas, Morgan G I Langille
Sequence-based approaches to study microbiomes, such as 16S rRNA gene sequencing and metagenomics, are uncovering associations between microbial taxa and a myriad of factors. A drawback of these approaches is that the necessary sequencing library preparation and bioinformatic analyses are complicated and continuously changing, which can be a barrier for researchers new to the field. We present three essential components to conducting a microbiome experiment from start to finish: first, a simplified and step-by-step custom gene sequencing protocol that requires limited lab equipment, is cost-effective, and has been thoroughly tested and utilized on various sample types; second, a series of scripts to integrate various commonly used bioinformatic tools that is available as a standalone installation or as a single downloadable virtual image; and third, a set of bioinformatic workflows and tutorials to provide step-by-step guidance and education for those new to the microbiome field...
January 2017: MSystems
https://www.readbyqxmd.com/read/28055930/deep-learning-for-health-informatics
#5
Daniele Ravi, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu Perez, Benny Lo, Guang-Zhong Yang
With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reshape the future of artificial intelligence. Rapid improvements in computational power, fast data storage and parallelization have also contributed to the rapid uptake of the technology in addition to its predictive power and ability to generate automatically optimized high-level features and semantic interpretation from the input data...
December 29, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/26439299/ten-years-of-maintaining-and-expanding-a-microbial-genome-and-metagenome-analysis-system
#6
REVIEW
Victor M Markowitz, I-Min A Chen, Ken Chu, Amrita Pati, Natalia N Ivanova, Nikos C Kyrpides
Launched in March 2005, the Integrated Microbial Genomes (IMG) system is a comprehensive data management system that supports multidimensional comparative analysis of genomic data. At the core of the IMG system is a data warehouse that contains genome and metagenome datasets sequenced at the Joint Genome Institute or provided by scientific users, as well as public genome datasets available at the National Center for Biotechnology Information Genbank sequence data archive. Genomes and metagenome datasets are processed using IMG's microbial genome and metagenome sequence data processing pipelines and are integrated into the data warehouse using IMG's data integration toolkits...
November 2015: Trends in Microbiology
https://www.readbyqxmd.com/read/26578596/hpmcd-the-database-of-human-microbial-communities-from-metagenomic-datasets-and-microbial-reference-genomes
#7
Samuel C Forster, Hilary P Browne, Nitin Kumar, Martin Hunt, Hubert Denise, Alex Mitchell, Robert D Finn, Trevor D Lawley
The Human Pan-Microbe Communities (HPMC) database (http://www.hpmcd.org/) provides a manually curated, searchable, metagenomic resource to facilitate investigation of human gastrointestinal microbiota. Over the past decade, the application of metagenome sequencing to elucidate the microbial composition and functional capacity present in the human microbiome has revolutionized many concepts in our basic biology. When sufficient high quality reference genomes are available, whole genome metagenomic sequencing can provide direct biological insights and high-resolution classification...
January 4, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/28013395/molecular-methods-resolve-the-bacterial-composition-of-natural-marine-biofilms-on-galvanically-coupled-stainless-steel-cathodes
#8
Athenia L Oldham, Mia K Steinberg, Kathleen E Duncan, Zakari Makama, Iwona Beech
Navy vessels consist of various metal alloys and biofilm accumulation at the metal surface is thought to play a role in influencing metal deterioration. To develop better strategies to monitor and control metallic biofilms, it is necessary to resolve the bacterial composition within the biofilm. This study aimed to determine if differences in electrochemical current could influence the composition of dominant bacteria in a metallic biofilm, and if so, determine the level of resolution using metagenomic amplicon sequencing...
December 24, 2016: Journal of Industrial Microbiology & Biotechnology
https://www.readbyqxmd.com/read/26283367/functional-metagenomic-discovery-of-bacterial-effectors-in-the-human-microbiome-and-isolation-of-commendamide-a-gpcr-g2a-132-agonist
#9
Louis J Cohen, Hahk-Soo Kang, John Chu, Yun-Han Huang, Emma A Gordon, Boojala Vijay B Reddy, Melinda A Ternei, Jeffrey W Craig, Sean F Brady
The trillions of bacteria that make up the human microbiome are believed to encode functions that are important to human health; however, little is known about the specific effectors that commensal bacteria use to interact with the human host. Functional metagenomics provides a systematic means of surveying commensal DNA for genes that encode effector functions. Here, we examine 3,000 Mb of metagenomic DNA cloned from three phenotypically distinct patients for effectors that activate NF-κB, a transcription factor known to play a central role in mediating responses to environmental stimuli...
September 1, 2015: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/25126756/aquatic-metagenomes-implicate-thaumarchaeota-in-global-cobalamin-production
#10
Andrew C Doxey, Daniel A Kurtz, Michael D J Lynch, Laura A Sauder, Josh D Neufeld
Cobalamin (vitamin B12) is a complex metabolite and essential cofactor required by many branches of life, including most eukaryotic phytoplankton. Algae and other cobalamin auxotrophs rely on environmental cobalamin supplied from a relatively small set of cobalamin-producing prokaryotic taxa. Although several Bacteria have been implicated in cobalamin biosynthesis and associated with algal symbiosis, the involvement of Archaea in cobalamin production is poorly understood, especially with respect to the Thaumarchaeota...
February 2015: ISME Journal
https://www.readbyqxmd.com/read/24997787/identification-and-assembly-of-genomes-and-genetic-elements-in-complex-metagenomic-samples-without-using-reference-genomes
#11
H Bjørn Nielsen, Mathieu Almeida, Agnieszka Sierakowska Juncker, Simon Rasmussen, Junhua Li, Shinichi Sunagawa, Damian R Plichta, Laurent Gautier, Anders G Pedersen, Emmanuelle Le Chatelier, Eric Pelletier, Ida Bonde, Trine Nielsen, Chaysavanh Manichanh, Manimozhiyan Arumugam, Jean-Michel Batto, Marcelo B Quintanilha Dos Santos, Nikolaj Blom, Natalia Borruel, Kristoffer S Burgdorf, Fouad Boumezbeur, Francesc Casellas, Joël Doré, Piotr Dworzynski, Francisco Guarner, Torben Hansen, Falk Hildebrand, Rolf S Kaas, Sean Kennedy, Karsten Kristiansen, Jens Roat Kultima, Pierre Léonard, Florence Levenez, Ole Lund, Bouziane Moumen, Denis Le Paslier, Nicolas Pons, Oluf Pedersen, Edi Prifti, Junjie Qin, Jeroen Raes, Søren Sørensen, Julien Tap, Sebastian Tims, David W Ussery, Takuji Yamada, Pierre Renault, Thomas Sicheritz-Ponten, Peer Bork, Jun Wang, Søren Brunak, S Dusko Ehrlich
Most current approaches for analyzing metagenomic data rely on comparisons to reference genomes, but the microbial diversity of many environments extends far beyond what is covered by reference databases. De novo segregation of complex metagenomic data into specific biological entities, such as particular bacterial strains or viruses, remains a largely unsolved problem. Here we present a method, based on binning co-abundant genes across a series of metagenomic samples, that enables comprehensive discovery of new microbial organisms, viruses and co-inherited genetic entities and aids assembly of microbial genomes without the need for reference sequences...
August 2014: Nature Biotechnology
https://www.readbyqxmd.com/read/25815895/explaining-diversity-in-metagenomic-datasets-by-phylogenetic-based-feature-weighting
#12
Davide Albanese, Carlotta De Filippo, Duccio Cavalieri, Claudio Donati
Metagenomics is revolutionizing our understanding of microbial communities, showing that their structure and composition have profound effects on the ecosystem and in a variety of health and disease conditions. Despite the flourishing of new analysis methods, current approaches based on statistical comparisons between high-level taxonomic classes often fail to identify the microbial taxa that are differentially distributed between sets of samples, since in many cases the taxonomic schema do not allow an adequate description of the structure of the microbiota...
March 2015: PLoS Computational Biology
https://www.readbyqxmd.com/read/27965413/k-slam-accurate-and-ultra-fast-taxonomic-classification-and-gene-identification-for-large-metagenomic-data-sets
#13
David Ainsworth, Michael J E Sternberg, Come Raczy, Sarah A Butcher
k-SLAM is a highly efficient algorithm for the characterization of metagenomic data. Unlike other ultra-fast metagenomic classifiers, full sequence alignment is performed allowing for gene identification and variant calling in addition to accurate taxonomic classification. A k-mer based method provides greater taxonomic accuracy than other classifiers and a three orders of magnitude speed increase over alignment based approaches. The use of alignments to find variants and genes along with their taxonomic origins enables novel strains to be characterized...
December 13, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/28003050/microbial-community-structures-in-high-rate-algae-ponds-for-bioconversion-of-agricultural-wastes-from-livestock-industry-for-feed-production
#14
A Mark Ibekwe, Shelton E Murinda, Marcia A Murry, Gregory Schwartz, Trygve Lundquist
Dynamics of seasonal microbial community compositions in algae cultivation ponds are complex. However, there is very limited knowledge on bacterial communities that may play significant roles with algae in the bioconversion of manure nutrients to animal feed. In this study, water samples were collected during winter, spring, summer, and fall from the dairy lagoon effluent (DLE), high rate algae ponds (HRAP) that were fed with diluted DLE, and municipal waste water treatment plant (WWTP) effluent which was included as a comparison system for the analysis of total bacteria, Cyanobacteria, and microalgae communities using MiSeq Illumina sequencing targeting the 16S V4 rDNA region...
December 18, 2016: Science of the Total Environment
https://www.readbyqxmd.com/read/28009051/a-brief-primer-on-genomic-epidemiology-lessons-learned-from-mycobacterium-tuberculosis
#15
Jennifer L Guthrie, Jennifer L Gardy
Genomics is now firmly established as a technique for the investigation and reconstruction of communicable disease outbreaks, with many genomic epidemiology studies focusing on revealing transmission routes of Mycobacterium tuberculosis. In this primer, we introduce the basic techniques underlying transmission inference from genomic data, using illustrative examples from M. tuberculosis and other pathogens routinely sequenced by public health agencies. We describe the laboratory and epidemiological scenarios under which genomics may or may not be used, provide an introduction to sequencing technologies and bioinformatics approaches to identifying transmission-informative variation and resistance-associated mutations, and discuss how variation must be considered in the light of available clinical and epidemiological information to infer transmission...
December 23, 2016: Annals of the New York Academy of Sciences
https://www.readbyqxmd.com/read/27900698/mining-microbial-signals-for-enhanced-biodiscovery-of-secondary-metabolites
#16
F Jerry Reen, Jose A Gutiérrez-Barranquero, Fergal O'Gara
The advent of metagenomics based biodiscovery has provided researchers with previously unforeseen access to the rich tapestry of natural bioactivity that exists in the biosphere. Unhindered by the "culturable bottleneck" that has severely limited the translation of the genetic potential that undoubtedly exists in nature, metagenomics nonetheless requires ongoing technological developments to maximize its efficacy and applicability to the discovery of new chemical entities.Here we describe methodologies for the detection and isolation of quorum sensing (QS) signal molecules from metagenomics libraries...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/26771483/the-heroes-of-crispr
#17
REVIEW
Eric S Lander
Three years ago, scientists reported that CRISPR technology can enable precise and efficient genome editing in living eukaryotic cells. Since then, the method has taken the scientific community by storm, with thousands of labs using it for applications from biomedicine to agriculture. Yet, the preceding 20-year journey--the discovery of a strange microbial repeat sequence; its recognition as an adaptive immune system; its biological characterization; and its repurposing for genome engineering--remains little known...
January 14, 2016: Cell
https://www.readbyqxmd.com/read/26736050/metagenomic-analysis-revealed-highly-diverse-microbial-arsenic-metabolism-genes-in-paddy-soils-with-low-arsenic-contents
#18
Ke-Qing Xiao, Li-Guan Li, Li-Ping Ma, Si-Yu Zhang, Peng Bao, Tong Zhang, Yong-Guan Zhu
Microbe-mediated arsenic (As) metabolism plays a critical role in global As cycle, and As metabolism involves different types of genes encoding proteins facilitating its biotransformation and transportation processes. Here, we used metagenomic analysis based on high-throughput sequencing and constructed As metabolism protein databases to analyze As metabolism genes in five paddy soils with low-As contents. The results showed that highly diverse As metabolism genes were present in these paddy soils, with varied abundances and distribution for different types and subtypes of these genes...
April 2016: Environmental Pollution
1
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"