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Dataset results
167 results for “Metagenomic DNA”
Supplementary material 4 from: Majaneva M, Diserud OH, Eagle SHC, Hajibabaei M, Ekrem T (2018) Choice of DNA extraction method affects DNA metabarcoding of unsorted invertebrate bulk samples. Metabarcoding and Metagenomics 2: e26664. https://doi.org/10.3897/mbmg.2.26664
Diversity analyses. :
Supplementary material 4 from: Weigand AM, Macher J-N (2018) A DNA metabarcoding protocol for hyporheic freshwater meiofauna: Evaluating highly degenerate COI primers and replication strategy. Metabarcoding and Metagenomics 2: e26869. https://doi.org/10.3897/mbmg.2.26869
Table S1: Sampling site coordinates :
Supplementary material 1 from: Weigand AM, Macher J-N (2018) A DNA metabarcoding protocol for hyporheic freshwater meiofauna: Evaluating highly degenerate COI primers and replication strategy. Metabarcoding and Metagenomics 2: e26869. https://doi.org/10.3897/mbmg.2.26869
DNA extraction protocol :
Supplementary material 1 from: Majaneva M, Diserud OH, Eagle SHC, Hajibabaei M, Ekrem T (2018) Choice of DNA extraction method affects DNA metabarcoding of unsorted invertebrate bulk samples. Metabarcoding and Metagenomics 2: e26664. https://doi.org/10.3897/mbmg.2.26664
Fragment and working PCR conditions. :
Supplementary material 5 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Alternative statistical model :
Supplementary material 4 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
4_NTC :
Supplementary material 2 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Bioinformatic pipeline and thresholds :
Supplementary material 3 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Profiling tables for all libraries :
Supplementary material 1 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Extraction protocols :
Supplementary material 1 from: Matsuoka S, Sugiyama Y, Sato H, Katano I, Harada K, Doi H (2019) Spatial structure of fungal DNA assemblages revealed with eDNA metabarcoding in a forest river network in western Japan. Metabarcoding and Metagenomics 3: e36335. https://doi.org/10.3897/mbmg.3.36335
: Data type: multimedia
Supplementary material 2 from: Matsuoka S, Sugiyama Y, Sato H, Katano I, Harada K, Doi H (2019) Spatial structure of fungal DNA assemblages revealed with eDNA metabarcoding in a forest river network in western Japan. Metabarcoding and Metagenomics 3: e36335. https://doi.org/10.3897/mbmg.3.36335
: Data type: molecular data
Supplementary material 2 from: Nobile AB, Freitas-Souza D, Ruiz-Ruano FJ, Nobile MLMO, Costa GO, de Lima FP, Camacho JPM, Foresti F, Oliveira C (2019) DNA metabarcoding of Neotropical ichthyoplankton: Enabling high accuracy with lower cost. Metabarcoding and Metagenomics 3: e35060. https://doi.org/10.3897/mbmg.3.35060
: Data type: NGS quality control
Supplementary material 1 from: Nobile AB, Freitas-Souza D, Ruiz-Ruano FJ, Nobile MLMO, Costa GO, de Lima FP, Camacho JPM, Foresti F, Oliveira C (2019) DNA metabarcoding of Neotropical ichthyoplankton: Enabling high accuracy with lower cost. Metabarcoding and Metagenomics 3: e35060. https://doi.org/10.3897/mbmg.3.35060
: Data type: Bioinformatic protocol
Figure 2 from: Tedersoo L, Liiv I, Kivistik PA, Anslan S, Kõljalg U, Bahram M (2016) Genomics and metagenomics technologies to recover ribosomal DNA and single-copy genes from old fruit-body and ectomycorrhiza specimens. MycoKeys 13: 1-20. https://doi.org/10.3897/mycokeys.13.8140
Figure 2 - Impact of maximum obtained DNA concentration and number of Illumina HiSeq reads on the size of all scaffolds (A, B) and largest nuclear rDNA scaffold (C, D). Regular straight lines and dotted lines indicate linear and better fitting logarithmic relationships, respectively.
Figure 1 from: Tedersoo L, Liiv I, Kivistik PA, Anslan S, Kõljalg U, Bahram M (2016) Genomics and metagenomics technologies to recover ribosomal DNA and single-copy genes from old fruit-body and ectomycorrhiza specimens. MycoKeys 13: 1-20. https://doi.org/10.3897/mycokeys.13.8140
Figure 1 - Effect of specimen age on the recovery of reads in the Illumina HiSeq run. Closed circles, 'old' fruit-bodies; shaded circles, 'regular' fruit-bodies; open circles, 'unsequenced' fruit-bodies; shaded triangles, ectomycorrhizal root tips representing unique rare lineages; open triangles, 'unsequenced' ectomycorrhizal root tips.
Supplementary material 1 from: Liu M, Burridge CP, Clarke LJ, Baker SC, Jordan GJ (2023) Does phylogeny explain bias in quantitative DNA metabarcoding? Metabarcoding and Metagenomics 7: e101266. https://doi.org/10.3897/mbmg.7.101266
The bioinformatic pipeline of processing metabarcoding data
Supplementary material 3 from: Liu M, Burridge CP, Clarke LJ, Baker SC, Jordan GJ (2023) Does phylogeny explain bias in quantitative DNA metabarcoding? Metabarcoding and Metagenomics 7: e101266. https://doi.org/10.3897/mbmg.7.101266
Scoring scheme for mismatch between DNA template and primers
Supplementary material 2 from: Liu M, Burridge CP, Clarke LJ, Baker SC, Jordan GJ (2023) Does phylogeny explain bias in quantitative DNA metabarcoding? Metabarcoding and Metagenomics 7: e101266. https://doi.org/10.3897/mbmg.7.101266
Composition and biomass of 24 studied samples, and HTS read abundance of studied species
Supplementary material 1 from: Röder N, Schwenk K (2023) Direct PCR meets high-throughput sequencing – metabarcoding of chironomid communities without DNA extraction. Metabarcoding and Metagenomics 7: e102455. https://doi.org/10.3897/mbmg.7.102455
Overview of chironomid size classes
Supplementary material 2 from: Röder N, Schwenk K (2023) Direct PCR meets high-throughput sequencing – metabarcoding of chironomid communities without DNA extraction. Metabarcoding and Metagenomics 7: e102455. https://doi.org/10.3897/mbmg.7.102455
Composition of the two artificial chironomid communities
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.