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In-silico PCR results for PSSC primer sets exhibiting >50% amplification rate
<p>using in-silico PCR, 2,161 genomes from<em> </em>the <em>Pseudomonas syringae</em> species complex were amplified using 16 established PCR primer sets, allowing one mismatch per primer. Each file here contains amplicons generated from a single primer set, with each amplicon sequence named with the GenBank accession number for the associated genome.</p>
Fig 4 in Development of specific PCR assays for the detection of Cryptocaryon irritans
Fig 4 Agarose gel electrophoresis of PCR products amplified from the simulated water body using Cryptocaryon irritans-specific primer set P1/S15. Lanes 1 and 10 represent a DNA size marker, lanes 2 to 7 represent C. irritans from the infected water, lane 8 represents the uninfected water, and lane 9 represents no-DNA control
Fig 1 in Development of specific PCR assays for the detection of Cryptocaryon irritans
Fig 1 Agarose gel electrophoresis of PCR products amplified using conserved primer set P1/NC2 (a), Cryptocaryon irritans-specific primer set P1/S15 (b), and Ichthyophthirius multifiliis-specific primer set S01/S02 (c). Lanes 1 and 11 represent a DNA size marker. Lanes 2 to 9 represent C. irritans, Pseudokeroronpsis rubra, Pseudokeroronpsis carnae, Euplotes sp. 1, I. multifiliis, Pseudourostyla cristata, Paramecium caudaium (cf. Table 1), and host (fish) DNA, respectively. Lane 10 represents no-DNA control
Fig 2 in Development of specific PCR assays for the detection of Cryptocaryon irritans
Fig 2 Agarose gel electrophoresis of PCR products amplified from mixed genomic DNA of C. irritans and I. multifiliis. Lanes 1 and 7 represent a DNA size marker. Lane 2 presents the mixture of C. irritans and I. multifiliis DNA amplified using the primer set P1/S15 and lane 3 represents the genomic DNA of I. multifiliis. Lane 4 represents the mixed genomic DNA of C. irritans and I. multifiliis amplified using the primer set S01–S02. Lane 5 represents the genomic DNA of C. irritans using the primer set S01–S02. Lane 6 represents no-DNA control
Fig 3 in Development of specific PCR assays for the detection of Cryptocaryon irritans
Fig 3 Evaluation of the sensitivity of the specific PCR assay for Cryptocaryon irritans (primer set P1/S15) by agarose gel electrophoresis. Lanes 1 and 13 represent a DNA size marker. Lane 2 represents DNA undiluted (450 ng/µl), and lanes 3 to 11 represent C. irritans DNA diluted for 1:50 (9 ng/µl), 1:100 (4.5 ng/µl), 1:200 (2.25 ng/µl), 1:400 (1.13 ng/µl), 1:800 (0.56 ng/µl), 1:103 (0.45 ng/µl), 1:104 (45 pg/µl), 1:105 (4.5 pg/µl), and 1:106 (0.45 pg/µl), respectively. Lane 12 represents no-DNA control
Figure 2 in Molecular identification of Trichinella species by multiplex PCR: new insight for Trichinella murrelli
Figure 2. Electrophoretic profiles of Trichinella murrelli uniplex PCR amplifications.DNA from T. murrelli (isolate code ISS35) reference larvae was used. Lane L = 50 bp ladder. The genes targeted were the Expansion Segment V (ESV, lane 1), Internal Transcribed Spacer 1 II (ITS1 II, Lane 2), ITS1 III (lane 3), ITS2 IV (lane 4), and ITS2 V (lane 5).
Figure 3 in Molecular identification of Trichinella species by multiplex PCR: new insight for Trichinella murrelli
Figure 3. Alignment of the 256 bp fragment of ITS1 II of Trichinella murrelli obtained by uniplex PCR.BLAST analysis revealed 99.6% identity with different clones of T. murrelli, including clone 5 (Accession number KC006421).
Figure 1 in Molecular identification of Trichinella species by multiplex PCR: new insight for Trichinella murrelli
Figure 1. Electrophoretic profiles of Trichinella murrelli and T. britovi larva amplicons after multiplex PCR amplification.DNA extracts from 1 and 10 larvae of T. murrelli (isolate code ISS35) in lane 1 and lanes 2–4, respectively; and of T. britovi (isolate code ISS235) larva in lane 5. Lane L1 = 100 bp ladder.
Fig. 2 in Protocol Optimization For Genomic Dna Extraction And Rapd-Pcr Of Alien Ponto-Caspian Amphipod Pontogammarus Robustoides
Fig. 2. RAPD fingerprints results from different samples of Pontogammarus robustoides with primers OPA-02 (1-12 runners- different samples of Pontogammarus robustoides; K- control) using RAPD-PCR 10 × Taq buffer with KCl.
Fig. 2 in Optimisation Of Dna Extraction And Rapd-Pcr Amplification For Population Genetic Analysis Of Daphnia Cucullata Sars, 1862 (Crustacea: Cladocera)
Fig. 2. RAPD fingerprints results from different samples of Daphnia cucullata with primers OPA-03 and OPA-05 (M- marker, 1-11 runners- different samples of Daphnia cucullata; 12- control) using RAPD-PCR 10 × Taq buffer with (NH4)2SO4.
Fig.1 in Optimisation Of Dna Extraction And Rapd-Pcr Amplification For Population Genetic Analysis Of Daphnia Cucullata Sars, 1862 (Crustacea: Cladocera)
Fig.1. RAPD fingerprints results from different samples of Daphnia cucullata with primers OPA-03 and OPA-05 (M- marker, 1-16 runners- different samples of Daphnia cucullata; 17- control) using RAPD-PCR 10 × Taq buffer with KCl.
Figure 4 in PCR-RFLP Based genetic diversity of Plasmodium vivax genotypes in district Mardan, Pakistan
Figure 4. Prevalence of six different sub-allele types of Pvmsp-3β (A1-A3, B1-B2 and C1) based on PCR-RFLP.
Figure 2 in PCR-RFLP Based genetic diversity of Plasmodium vivax genotypes in district Mardan, Pakistan
Figure 2. Prevalence of nine different sub-allele types of Pvmsp- 3α(A1-A4), (B1-B3), C1 and D are the nine different alleles from PCR-RFLP.
Fig. 1 in Molecular diagnostic technique for the differentiation of the Formosan subterranean termite, Coptotermes formosanus (Isoptera: Rhinotermitidae) from other subterranean termites by multiplex-PCR
Fig. 1. Ethidium bromide-stained agarose gel (2%) illustrating a common amplicon of 262 bp from the mtDNA 16S gene for various termite species and unique amplicon of 221 bp specific for the Formosan subterranean termite.
Fig. 2. Multiplex PCR gel showing the 716 in Molecular diagnostics of the honey bee parasites Lotmaria passim and Crithidia spp. (Trypanosomatidae) using multiplex PCR
Fig. 2. Multiplex PCR gel showing the 716 to 724 bp amplicon for Lotmaria passim and Crithidia species, the L. passim specific 499 bp amplicon, and the Crithidia specific 245 bp amplicon.
Fig. 1 in Molecular diagnostics of the honey bee parasites Lotmaria passim and Crithidia spp. (Trypanosomatidae) using multiplex PCR
Fig. 1. Bayesian molecular phylogenetic tree showing relationship of 2 Hawaiian Lotmaria passim positive samples relative to other trypanosomes from Gen- Bank for a 608 bp region of the rDNA SSU gene.
Fig. 1. A in A novel quantitative real-time PCR diagnostic assay for seal heartworm (Acanthocheilonema spirocauda) provides evidence for possible infection in the grey seal (Halichoerus grypus)
Fig. 1. A: graphical representation of cluster 20 (C20). B: representation of the selected contig and the sequence used to design the C20 quantitative real-time PCR assay. The forward primer is in bold, the reverse primer is indicated by a dotted underline, and the double-quenched probe is underlined.
Fig. 2. Standard curve generated using the log10 in A novel quantitative real-time PCR diagnostic assay for seal heartworm (Acanthocheilonema spirocauda) provides evidence for possible infection in the grey seal (Halichoerus grypus)
Fig. 2. Standard curve generated using the log10 of the ng of input A. spirocauda DNA plotted against Ct value. Unknown values are displayed as stars. For unknown samples, the total input DNA was 1 ng, which contains a mixture of seal DNA from the blood and A. spirocauda DNA. R2 = 0.985 for linear fit of standards. Curve is described by the equation y = −5.63x + 17.16, where y is the log (ng) and x is the Ct value. 95% confidence intervals are denoted by the dotted lines.
Fig. 1 in Detecting co-infections of Echinococcus multilocularis and Echinococcus canadensis in coyotes and red foxes in Alberta, Canada using real-time PCR
Fig. 1. Standard curve for qPCR assays to detect E. canadensis and E. multilocularis using Cox143 and Nad234 primers/probes, respectively.
Annual minima and maxima of present day and future discharge, derived from PCR-GLOBWB
<p>Global dataset of annual minima and maxima for major river system in the world. Dataset provides the present day and 2C warming simulation derived from a combination of the Global Hydrological Model, PCR-GLOBWB (https://doi.org/10.5194/gmd-11-2429-2018) and the EC-EARTH Global Climate Model (https://doi.org/10.1007/s00382-011-1228-5). The large-ensemble dataset is part of the HiWAVES3 project (https://www.knmi.nl/research/weather-climate-models/projects/hiwaves3)</p>
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.