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915 results for “metagenomics”
MAG Collection - Rühlemann et al.: Comparative metagenomics reveals host-specific functional adaptation of intestinal microbiota across hominids
<p>This tar-Archives hold the complete collection of n=7,506 metagenome-assembled genomes presented in the preprint "Comparative metagenomics reveals host-specific functional adaptation of intestinal microbiota across hominids" by Rühlemann <em>et al., <a href="https://www.biorxiv.org/content/10.1101/2023.03.01.530589v1">bioRxiv</a>, </em>2023.</p> <p>Article Summary</p> <p>Characterizing trajectories of the composition and function of hominid gut microbiota across diverse environments and host species can help reveal specific properties of the human microbiota, with possible implications for host evolution and health. Using shotgun metagenomic sequencing, we investigated taxonomic and functional diversity in the gut microbiota of wild-living great apes, including two gorilla subspecies (<em>Gorilla gorilla gorilla, Gorilla beringei beringei</em>), three chimpanzee subspecies (<em>Pan troglodytes verus, P.t. troglodytes, P.t. schweinfurthii</em>), and bonobos (<em>Pan paniscus</em>), together with human samples from Africa and Europe. We identified microbial taxonomic and functional adaptations convergent with host phylogeny at both the community and microbial genomic levels. We could show that repeated horizontal gene transfer and gene loss are processes involved in these adaptations. We hypothesize, that these adaptation processes and changes in the microbiome predispose the host to chronic inflammatory disorders, such as type 2 diabetes via altered histidine metabolism and inflammatory bowel disease indicated by adaptation of microbes to aerobic conditions. Additionally, we find multiple lines of evidence suggesting a widespread loss of microbial diversity and evolutionary conserved clades in the human microbiota, especially in the European population. Lastly, we observed patterns consistent with codivergence of hosts and microbes, particularly for the bacterial family <em>Dialisteraceae</em>, though we find that overall, co-phylogeny patterns are frequently disrupted in humans.</p>
Training Data for "Binning of metagenomic sequencing data" tutorial
<p><strong>Metagenomics is the study of genetic material recovered directly from environmental samples, such as soil, water, or gut contents, without the need for isolation or cultivation of individual organisms. Metagenomics binning is a process used to classify DNA sequences obtained from metagenomic sequencing into discrete groups, or bins, based on their similarity to each other</strong>. The goal of metagenomics binning is to assign the DNA sequences to the organisms or taxonomic groups that they originate from, allowing for a better understanding of the diversity and functions of the microbial communities present in the sample. This is typically achieved through computational methods that use sequence similarity, composition, and other features to group the sequences into bins.</p> <p>There are two main types of metagenomics binning: <strong>reference-based</strong> and <strong>de novo</strong>.</p> <ul> <li><strong>reference-based binning</strong> involves aligning the sequences to a database of known genomes or reference sequences</li> <li><strong>de novo binning</strong> involves clustering the sequences based on similarity without prior knowledge of the organisms or reference sequences present in the sample.</li> </ul> <p>Both methods have their strengths and limitations, and researchers often use a combination of approaches to improve the accuracy of their binning results. Metagenomics binning is an important tool for understanding the functional potential of microbial communities in various environments and has applications in fields such as biotechnology, environmental science, and human health.</p> <p>In this tutorial, we will learn how to run metagenomic binning tools and evaluate the quality of the results. In order to do that, we will use data from the study: <a href="https://www.ebi.ac.uk/metagenomics/studies/MGYS00005630#overview">Temporal shotgun metagenomic dissection of the coffee fermentation ecosystem</a> and MetaBAT2 algorithm. For an in-depth analysis of the structure and functions of the coffee microbiome, a temporal shotgun metagenomic study (six time points) was performed. The six samples have been sequenced with Illumina MiSeq utilizing whole genome sequencing.</p> <p>Based on the 6 original dataset of the coffee fermentation system, we generated mock datasets for this tutorial.</p>
Novel metagenome assembled genomes (MAGs) that best represent novel species level taxa within the phylum Chloroflexota
<p>1280 Chloroflexita MAGs from the study "Taxonomic re-classification and expansion of the phylum Chloroflexota based on over 5000 genomes and metagenome-assembled genomes". Only MAGs that improved the representation of a species-level genome cluster within the phylum <em>Chloroflexota</em> were included in this deposition.</p> <p>Most of these MAGs were assembled from publicly availabe metagenome sequence data obtained from the NCBI sra database.</p> <p>An overview of the here deposited MAGs can be found in <a href="https://zenodo.org/api/files/2a6a7fa1-489c-426d-8e05-ada23038dfdf/Zenodo_deposited_MAGS_overview.xlsx?versionId=9cde1488-8388-4fdb-a45e-2d48dc066f9a"> Zenodo_deposited_MAGS_overview.xlsx</a>, for more details please refer to the abive mentioned publication.</p> <p>MAG assemblies are deposited as gzip compressed tar.archive. Three tar.gz archives have been deposited, containing the same MAG assemblies but sorted by different criteria:</p> <ol> <li>All MAGs sorted by category of the source environment</li> <li>All MAGs sorted by class designation</li> <li>All MAGs sorted by MIMAG quality (high or moderate)</li> </ol>
metaGOflow: a workflow for the analysis of marine Genomic Observatories shotgun metagenomics data - use case
<p>Data products returned by <a href="https://github.com/emo-bon/MetaGOflow">metaGOflow</a> (<a href="https://github.com/emo-bon/MetaGOflow/releases/tag/v1.0.0">v1.0.0</a>) and packed as a Research Object (RO) Crate, when performed with:</p> <ul> <li>a <strong>seawater metagenomic sample </strong>(TARA OCEAN, <a href="https://www.ebi.ac.uk/ena/browser/view/ERR599171">ERR599171</a>)</li> <li>a <strong>fish gut </strong>sample (<a href="https://www.ebi.ac.uk/ena/browser/view/ERR4765907">ERR4765907</a>)</li> <li>a<strong> human gut </strong>sample (<a href="https://www.ebi.ac.uk/ena/browser/view/SRR9654976">SRR9654976</a>)</li> </ul> <p>This Zenodo repo accompanies the metaGOflow paper and more about the analysis of this sample can be found there.</p> <p>You can also have a look at some visual components of the workflow at this <a href="https://data.emobon.embrc.eu/MetaGOflow/">GitHub page</a>. </p> <p>The source code of metaGOflow is available through <a href="http://github.com/emo-bon/MetaGOflow">GitHub</a>.</p>
Metagenome-assembled genomes(MAGs) generated by MetaCC binning
<p>MAGs generated by MetaCC binning from the human gut short-read, the wastewater (WW) short-read, the cow rumen long-read, and the sheep gut long-read metaHi-C datasets</p>
The LakePulse Metagenome-Assembled Genome catalogue
<p>Lakes are heterogenous ecosystems inhabited by a rich microbiome whose genomic diversity is poorly defined. We present a continental-scale study of metagenomes representing 6.5-million km<sup>2</sup> of the most lake-rich landscape on Earth. Analysis of 308 Canadian lakes resulted in a metagenome-assembled genome (MAG) catalogue of 1,008 mostly novel bacterial genomospecies. Lake trophic state was a leading driver of taxonomic and functional diversity among MAG assemblages, reflecting the responses of communities profiled by 16S rRNA amplicons and gene-centric metagenomics. Coupling the MAG catalogue with watershed geomatics revealed terrestrial influences of soils and land use on assemblages. Agriculture and human population density were drivers of turnover, indicating detectable anthropogenic imprints on lake bacteria at the continental scale. The sensitivity of bacterial assemblages to human impact reinforces lakes as sentinels of environmental change. Overall, the LakePulse MAG catalogue greatly expands the freshwater genomic landscape, advancing an integrative view of diversity across Earth's microbiomes.</p>
Supplementary Material for publication "Bifidobacteria Define Gut Microbiome Profiles of Golden Lion Tamarin (Leontopithecus rosalia} and Marmoset Callithrix sp. Metagenomic Shotgun Pools
<p>Supplementary Tables and Figure for the publication "Bifidobacteria Define Gut Microbiome Profiles of Golden Lion Tamarin <em>Leontopithecus rosalia</em> and Marmoset <em>Callithrix</em> sp. Metagenomic Shotgun Pools"</p>
Comparative seagulls of gut microbiota by using metagenomics and 16S rDNA sequencing
<p><span>Shotgun</span><span> metagenomic and 16S rDNA sequencing are commonly used methods to identify the taxonomic composition of microbial communities. </span><span>We compared the metagenome and 16S rDNA amplicon results to demonstrate the features of this animal. </span><span>In general, </span><span>relatively </span><span>consistent patterns and reliability could be identified by both sequencing methods, but the results varied </span><span>following </span><span>the refinement of taxonomic levels. </span><span>Metagenomic </span><span>sequencing was more suitable for the discovery and detection of pathogenic bacteria of gut microbiota in seagulls.</span><span> Although there were large differences in the numbers and abundance of </span><span>bacterial </span><span>species of</span><span> the</span><span> two methods in terms of taxonomic levels, the patterns and reliability results of </span><span>the </span><span>samples were consistent.</span></p>
SPAAM Summer School 2022: Introduction to Ancient Metagenomics - 5c Introduction to Functional Profiling
<p>Teaching data for practical session: "5c Introduction to Functional Profiling" of the 2022 SPAAM Summer School: Introduction to Ancient Metagenomics (Aug. 1-5 2022).</p> <p>See: <a href="https://spaam-community.github.io/wss-summer-school/#/2022/">https://spaam-community.github.io/wss-summer-school/#/2022/</a> or <a href="https://doi.org/10.5281/zenodo.6976711">https://doi.org/10.5281/zenodo.6976711</a> for slides.</p> <p>Once downloaded, run:</p> <pre><code>tar xvfz <session>.tar.gz</code></pre> <p> to decompress the data directory for the session.</p> <p>This updated version changes the conda environment due to versioning conflicts.</p>
ANI matrices for isolates from patients with metagenomic evidence of strain replacement
<p>Matrices of average nucleotide identity (ANI) values for all-vs-all comparisons of isolate genomes of the same species recovered from four participants in the PREMIX study. Genome IDs can be linked to publication by genome metadata found on Emory DataVerse site: <a href="https://doi.org/10.15139/S3/GCV41M">https://doi.org/10.15139/S3/GCV41M</a></p>
Saw Kill river (NY, USA) metagenomics and environmental variables
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Metagenomics data of the bacterial community in Bemisia tabaci from Burkina Faso
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Data from: Metagenomic insights into the dietary diversity of the adaptive radiation of cichlid fishes in Lake Tanganyika
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Data and code from: Engineering bacteriophages through deep mining of metagenomic motifs
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SPIKEPIPE: A metagenomic pipeline for the accurate quantification of eukaryotic species occurrences and intraspecific abundance change using DNA barcodes or mitogenomes
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Comparative seagulls of gut microbiota by using metagenomics and 16S rDNA sequencing
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The LakePulse Metagenome-Assembled Genome catalogue
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data for The Gene School: Metagenomics workshop
<p>Precomputed data including a metagenomic assembly of multiple samples, reads from multiple samples mapped to the coassembly, metagenome-assembled genomes (MAGs), and anvio profiles for the MAGs. All from timeseries faecal samples of a single porcine host.</p>
Antarctic cryptoendolithic metagenomes
<p>Metagenome sequencing of twenty differently sun-exposed rock samples collected during the XXXI (2015-16) Italian Antarctic Expedition. These data are an archive of the IMG metagenome assembly and annotation generated by the Joint Genome Institute.</p>
An evaluation of the accuracy and speed of metagenome analysis tools
<p>Metagenome studies are becoming increasingly widespread, yielding important insights into microbial communities covering diverse environments from terrestrial and aquatic ecosystems to human skin and gut. With the advent of high-throughput sequencing platforms, the use of large scale shotgun sequencing approaches is now commonplace. However, a thorough independent benchmark comparing state-of-the-art metagenome analysis tools is lacking. Here, we present a benchmark where the most widely used tools are tested on complex, realistic data sets. Our results clearly show that the most widely used tools are not necessarily the most accurate, that the most accurate tool is not necessarily the most time consuming and that there is a high degree of variability between available tools. These findings are important as the conclusions of any metagenomics study are affected by errors in the predicted community composition and functional capacity.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.