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      Isolated Grauer's gorilla populations differ in diet and gut microbiome

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          Fitting Linear Mixed-Effects Models Usinglme4

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            DADA2: High resolution sample inference from Illumina amplicon data

            We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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              The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

              SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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                Author and article information

                Contributors
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                Journal
                Molecular Ecology
                Molecular Ecology
                Wiley
                0962-1083
                1365-294X
                August 30 2022
                Affiliations
                [1 ]Animal Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre Uppsala University Uppsala Sweden
                [2 ]Department of Anthropology University of California Davis California USA
                [3 ]Department of Human Behavior, Ecology and Culture Max‐Planck Institute for Evolutionary Anthropology Leipzig Germany
                [4 ]Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences University of Groningen Groningen The Netherlands
                [5 ]Plant Ecology, Department of Ecology and Genetics, Evolutionary Biology Centre Uppsala University Uppsala Sweden
                [6 ]The Dian Fossey Gorilla Fund International Kinshasa Democratic Republic of the Congo
                [7 ]Institut Congolais pour la Conservation de la Nature Kinshasa Democratic Republic of the Congo
                [8 ]Department of Environmental Biology Sapienza University of Rome Rome Italy
                [9 ]Institute of Ecology and Evolution, School of Biological Sciences University of Edinburgh Edinburgh UK
                Article
                10.1111/mec.16663
                35976262
                5d848722-b1d9-4119-b401-afbc185bc7b8
                © 2022

                http://creativecommons.org/licenses/by-nc/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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