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263 results for “forensics”
Figure 1 in Ultrastructural analysis of the antennae of Hemilucilia segmentaria (Diptera: Calliphoridae), a blowfly of forensic importance
Figure 1. Antennal ultrastructure of Hemilucilia segmentaria (Fabricius). (A) General view of antenna. The upper box shows the basal region of arista. The lower box shows three sensory pits on the postpedicel. (B) Detail of scape and pedicel in lateral view. The four arrows on the pedicel show the location of setiferous plaques (detail in box). (C) Posterior view of the pedicel showing the pedicellar cone and distal articular surface. Box D corresponds to Fig. 1D. The star indicates the location of the pedicellar button. (D) Detail of microtrichia on the distal articular surface. (E) Pedicellar button. (F) Detail of surface of postpedicel showing different types of sensilla and microtrichia. Abbreviations: Ar = Arista; Ba-I, Ba-II and Ba-III = sensilla basiconica subtype I, I and III, respectively; Br = bristles or setae; Co = sensilla coeloconica; Mt = microtrichia; Pc = pedicellar cone; Pd = pedicel; Pp = postpedicel; Sc = scape; Tr = sensilla trichoidea. Scale bars (µm): A = 100 (upper and lower box = 10), B = 100 (box = 12.5); C = 20; D = 10; E = 1; F = 10.
Figure 2 in Ultrastructural analysis of the antennae of Hemilucilia segmentaria (Diptera: Calliphoridae), a blowfly of forensic importance
Figure 2. Detail of sensilla on the postpedicel of Hemilucilia segmentaria (Fabricius). (A) Sensilla trichoidea (Tr) and sensilla basiconica subtype II (Ba-II). (B) Basal region of sensilla trichoidea, some pores are indicated by arrows. (C) Sensilla basiconica subtype I (Ba-I). (D) Sensilla basiconica subtype III (Ba-III). (E) Sensilla coeloconica subtype I (Co-I). (F) Sensory pit with sensilla coeloconica subtype II (Co-II). Scale bars (µm): A, C, D, E = 1; B = 200; F = 2.
FIGURE 1 in Molecular identification of six species of Calliphoridae (Diptera) with forensic interest in Bogotá, Colombia
FIGURE 1: Phenogram distances created under the maximum likelihood model (ML).
Data from: Investigating cat predation as the cause of bat wing tears using forensic DNA analysis
<p>Cat predation upon bat<i> </i>species has been reported to have significant effects on bat populations in both rural and urban areas. The majority of research in this area has focussed on observational data from bat rehabilitators documenting injuries, and cat owners, when domestic cats present prey. However, this has the potential to underestimate the number of bats killed or injured by cats. Here, we use forensic DNA analysis techniques to analyse swabs taken from injured bats in the United Kingdom, mainly including <i>Pipistrellus pipistrellus </i>(40 out of 72 specimens)<i>. </i>Using quantitative PCR, cat DNA was found in two-thirds of samples submitted by bat rehabilitators. Of these samples, short tandem repeat analysis produced partial DNA profiles for approximately one-third of samples, which could be used to link predation events to individual cats. The use of genetic analysis can complement observational data, and potentially provide additional information to give a more accurate estimation of cat predation. </p>
From Forensics to Clinical Research: Expanding the Variant Calling Pipeline for the Precision ID mtDNA Whole Genome Panel
<p>In this dataset we provide the 1000 Genomes Project's samples processed in our manuscript:</p> <p>Cortes-Figueiredo, F.; Carvalho, F.S.; Fonseca, A.C.; Paul, F.; Ferro, J.M.; Schönherr, S.; Weissensteiner, H.; Morais, V.A. From Forensics to Clinical Research: Expanding the Variant Calling Pipeline for the Precision ID mtDNA Whole Genome Panel. <em>Int. J. Mol. Sci</em>. <strong>2021</strong>, <em>22</em>, 12031. <a href="https://doi.org/10.3390/ijms222112031">https://doi.org/10.3390/ijms222112031</a><em>.</em></p> <p><strong>Abstract</strong></p> <p>Despite a multitude of methods for the sample preparation, sequencing, and data analysis of mitochondrial DNA (mtDNA), the demand for innovation remains, particularly in comparison with nuclear DNA (nDNA) research. The Applied Biosystems™ Precision ID mtDNA Whole Genome Panel (Thermo Fisher Scientific, USA) is an innovative library preparation kit suitable for degraded samples and low DNA input. However, its bioinformatic processing occurs in the enterprise Ion Torrent Suite™ Software (TSS), yielding BAM files aligned to an unorthodox version of the revised Cambridge Reference Sequence (rCRS), with a heteroplasmy threshold level of 10%. Here, we present an alternative customizable pipeline, the PrecisionCallerPipeline (PCP), for processing samples with the correct rCRS output after Ion Torrent sequencing with the Precision ID library kit. Using 18 samples (3 original samples and 15 mixtures) derived from the 1000 Genomes Project, we achieved overall improved performance metrics in comparison with the proprietary TSS, with optimal performance at a 2.5% heteroplasmy threshold. We further validated our findings with 50 samples from an ongoing independent cohort of stroke patients, with PCP finding 98.31% of TSS’s variants (TSS found 57.92% of PCP’s variants), with a significant correlation between the variant levels of variants found with both pipelines.</p> <p><br> Please refer to our the github page <a href="https://github.com/filcfig/PCP.git">filcfig/PCP</a>, for more details on running the PrecisionCalllerPipeline.</p>
Data Set Literature Review Digital Forensic and Forensic Sciences
<p>Data ini digunakan untuk membuat penelitian sesuai dengan tinjauan literatur dengan kata kunci "<em>Digital Forensic</em>" dan "<em>Forensic Sciences</em>"</p>
Dataset Literature Review Digital Forensic and Forensic Anthropology Population Data
<p>Data ini dipergunakan untuk membuat penelitian sesuai dengan Tinjauan Literatur dengan kata kunci "<em>Digital Forensik</em> dan <em>Forensic Anthropology Population Data"</em></p>
Dataset Literature Review Digital Forensic AND Forensic Sciences
<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci "Digital Forensic" dan "Forensic Sciences"</p>
Dataset Literature Review Digital Forensic AND Forensic Anthropology Population Data
<p>Data ini digunakan untuk membuat penelitian berdasarkan tinjauan literatur dengan kata kunci "digital forensic" dan "forensic anthropology population data"</p>
Dataset Literature Review Digital Forensic
<p>data ini diambil dengan menggunakan analisis lens.org serta kata kunci digital forensic and fingerprints. dan menggunakan filter tipe dokumen jurnal artikel, subjek hukum, dan menggunakan tahun publikasi 2012-2022.</p>
A case of forensic genomics in Uganda reveals animal ownership and low exotic genetic introgression in indigenous cattle
<p class="MsoNormal"><span>The cattle industry contributes to Uganda's agricultural output. It however faces challenges that include theft and parentage ascertainment. These challenges can benefit from recent developments in genomics and bioinformatics technologies. In the current study, we provided a proof-of-concept conflict resolution method based on the available bovine genomic tools. Briefly, two farmers we refer to as A and B contested for ownership of a group of 9 cattle. To offer objective and data-based guidance to resolving this conflict, we sampled hair samples of the 9 contested cattle as well as 7 and 2 cattle from farmers A and B respectively that were identified by these farmers as the closest relatives of the contested animals. DNA was extracted from each of the collected hair samples and subsequently genotyped on the Illumina BovineSNP50-24 version 3 BeadChip for 53218 DNA Single Nucleotide Polymorphisms (SNP) variants. Upon genotype data cleaning we retained ~30,000 SNPs which were used for different genomic analyses including principal component analysis, identity by state (IBS) analysis, and hierarchical clustering analysis, to establish the genetic relationships within and between the investigated animal groups.</span></p>
Dataset - ExperDF-Onto: an Ontology for Promoting Controlled Experimentation in Digital Forensics
<p>Dataset - ExperDF-Onto: an Ontology for Promoting Controlled Experimentation in Digital Forensics</p>
Random forests for predicting species identity of forensically important blow flies (Diptera: Calliphoridae) and flesh flies (Sarcophagidae) using geometric morphometric data: proof of concept
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A case of forensic genomics in Uganda reveals animal ownership and low exotic genetic introgression in indigenous cattle
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Genome and developmental transcriptome of the forensically important blowfly, <em>Phormia Regina</em>
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Mapping the geographic origin of captive and confiscated Hermann’s tortoises: a genetic toolkit for conservation and forensic analyses
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Data from: Investigating cat predation as the cause of bat wing tears using forensic DNA analysis
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Data from: Forensic genomics as a novel tool for identifying the causes of mass mortality events
Toxic spills, hypoxia, disease outbreaks and toxin-producing algal blooms are all possible causes of mass mortality events, but in many cases it can be difficult to pinpoint the cause of death. Here we present a new approach that we name 'forensic genomics', combining field surveys, toxin testing and genomic scans. Forensic genomics queries allele frequencies of surviving animals for signatures of agents causing mass mortality and, where genetic diversity is high, is uniquely suited to identify natural selection in action. As a proof of concept, we use this approach to investigate the causes of an invertebrate mass mortality event, and its genetic effects on an abalone population. Our results support that a harmful algal bloom producing a yessotoxin was a major causative agent to the event.
FIGURE 11 in Rediscovery of Sagittalarva inornata n. gen., n. comb. (Gilbert, 1890) (Perciformes: Labridae), a long-lost deepwater fish from the eastern Pacific Ocean: a case study of a forensic approach to taxonomy using DNA barcoding
FIGURE 11. Julidine portion of the phylogenetic tree from Westneat and Alfaro (2005), with the newly-available sequences for Sagittalarva inornata added, based on a maximum-likelihood model utilizing nuclear genes Rag2 and Tmo4c4 and mitochondrial genes 12s and 16s (log likelihood = -47392.14). S. inornata is highlighted in red, the New World Halichoeres clade in purple, a large Indo-Pacific Halichoeres clade in yellow, smaller Indo-Pacific clades of Halichoeres in orange and green, Pseudojuloides in pink, the "julidinoid" Pseudolabrines in blue and Cheilio and other non-julidines below. The scale bar at upper left represents 0.02 substitutions per site. The sequences for Rag2, Tmo4c4, 12s, and 16s for S. inornata correspond to GenBank accessions JX684103–6; the accession numbers for the remaining sequences are listed in Table 1 of Westneat and Alfaro (2005).
FIGURE 9 in Rediscovery of Sagittalarva inornata n. gen., n. comb. (Gilbert, 1890) (Perciformes: Labridae), a long-lost deepwater fish from the eastern Pacific Ocean: a case study of a forensic approach to taxonomy using DNA barcoding
FIGURE 9. Photograph and radiograph of the holotype of Sagittalarva inornata, 73 mm SL, USNM 44273, courtesy Sandra Raredon, USNM.
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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.