Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
15,277
datasets available to search
ShareScore release 0.9.0
Dataset results
15,277 results for “GENETICS”
Fig. 1 in A preliminary study of genetic structure and relatedness analysis of Nutria (Myocastor coypus) in Upo Wetland
Fig. 1. Maps denoting Upo Wetland where nutrias were collected.
Fig.1 in Preliminary Studies On The Genetic Diversity Of An Endemic And Endangered Species Saussurea Esthonica Baer Ex Rupr. In Latvia
Fig.1 Genetic diversity measures between populations based on retrotransposon markers
Fig.3 in Preliminary Studies On The Genetic Diversity Of An Endemic And Endangered Species Saussurea Esthonica Baer Ex Rupr. In Latvia
Fig.3 Principal coordinate analysis based on retrotransposon analysis
Training data for 'Genetic map RADSeq ' tutorial (Galaxy Training Material)
<p>The data provided here are part of a study published by Amores<em> et al.</em> (2011) (<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3176089/">doi 10.1534/genetics.111.127324</a>), exploiting massively parallel DNA sequencing to develop meiotic maps by genotyping F<sub>1</sub> offspring of a single female and a single male spotted gar (<em>Lepisosteus oculatus</em>).</p>
Coordinates of genetic variants used for QTL mapping
<p>Column names</p> <ol> <li>chr - chromosome name</li> <li>pos - position</li> <li>snp_id - variant id</li> <li>ref - reference allele</li> <li>alt - alternate allele</li> <li>type - variant type (SNP or INDEL)</li> <li>AC - alternate allele count</li> <li>AN - total allele count</li> </ol>
Human genetic variants and age are the strongest predictors of humoral immune responses to common pathogens and vaccines
<p>Online Supplementary Dataset of the manuscript "Human genetic variants and age are the strongest predictors of humoral immune responses to common pathogens and vaccines"</p>
Detection of genetic alterations in gastric cancer patients from Saudi Arabia using comparative genomic hybridization (CGH)
<p>Abstract</p> <p>Background: The present study was conducted to discover genetic imbalances such as DNA copy number variations (CNVs) associated with gastric cancer (GC) and to examine their association with different genes involved in the process of gastric carcinogenesis in Saudi population. </p> <p>Methods: Formalin-fixed paraffin-embedded (FFPE) tissues samples from 33 gastric cancer patients and 15 normal gastric samples were collected. Early and late stages GC samples were genotyped and CNVs were assessed by using Illumina HumanOmni1-Quad v.1.0 BeadChip. </p> <p>Results: Copy number gains were more frequent than losses throughout all GC samples compared to normal tissue samples. The mean number of the altered chromosome per case was 64 for gains and 40 for losses, and the median aberration length was 679115bp for gains and 375889bp for losses. We identified 7 high copy gain, 52 gains, 14 losses, 32 homozygous losses, and 10 copy neutral LOHs (loss of heterozygosities). Copy number gains were frequently detected at 1p36.32, 1q12, 1q22, 2p11.1, 4q23-q25, 5p12-p11, 6p21.33, 9q12-q21.11, 12q11-q12, 14q32.33, 16p13.3, 17p13.1, 17q25.3, 19q13.32, and losses at 1p36.23, 1p36.32, 1p32.1, 1q44, 3q25.2, 6p22.1, 6p21.33, 8p11.22, 10q22.1, 12p11.22, 14q32.12 and 16q24.2. We also identified 2 monosomy at chromosome 14 and 22, 52 partially trisomy and 22 whole chromosome 4 neutral loss of heterozygosities at 13q14.2-q21.33, 5p15.2-p15.1, 5q11.2-q13.2, 5q33.1-q34 and 3p14.2-q13.12. Furthermore, 11 gains and 2 losses at 1p36.32 were detected for 11 different GC samples and this region has not been reported before in other populations. Statistical analysis confirms significant association of H. pylori infection with T4 stage of GC as compare to control and other stages.</p>
Supporting dataset for the publication 'Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity'
<p>This dataset accompanies the publication "Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity" by William S DeWitt III, Anajane Smith, Gary Schoch, John A Hansen, Frederick A Matsen IV and Philip Bradley, accepted for publication in the journal eLife. It contains data on T cell receptor occurrence patterns and repertoire features that can be processed with the software tools provided in the github repository https://github.com/phbradley/pubtcrs in order to replicate the findings of the manuscript.</p> <p> </p>
The genetic basis of mutation rate variation in yeast [data and script]
<p>This dataset contains the data and the scripts for the study of exploring the genetic basis of mutation rate in yeast (https://www.biorxiv.org/content/early/2018/06/04/338723). </p> <ul> <li>The genotype folder contains the genotype for 1040 segreants, as well as the genotype for the 843 segregants used for QTL mapping.</li> <li>The mutation_spectrum contains the codes for MiSeq data processing, mutation variants calling, mutation spectrum detection and plotting. </li> <li>The phenotype folder contains the mutations per culture (parameter m) for 843 segreants, as well as the number of cells per culture (parameter N) for the corresponding segregants.</li> <li>The qtl_mapping folder contains the codes for QTL mapping and the codes to plot the correlation between mutation rate and mutagen resistance.</li> </ul>
Data from: Insights into the genomics of clownfish adaptive radiation: genetic basis of the mutualism with sea anemones
<p>Genomic data of 9 clownfish (<em>Amphiprion akallopisos, A. bicinctus, A. melanopus, A. nigripes, A. ocellaris, A. preideraion, A. polymnus, A. sebae, Premnas biaculeatus</em>) species and 1 damselfish species (<em>Pomacentrus moluccensis</em>), presented in " Insights into the genomics of clownfish adaptive radiation: genetic basis of the mutualism with sea anemones".</p> <p>For each species, the following files are available:</p> <p><strong>Species_genome.fasta</strong>: Genome assembly of the species in fasta format. The genome was obtained using Illumina paired-end reads, following a reference-based method. For more information, please refer to the publication</p> <p><strong>Species_genome.Annotation.gff3</strong>: Structural genome annotation of the species, in gff3 format. Structural annotation was obtained with a combination of ab initio and RNAseq-data based approaches. Fina gene models were obtained with MAKER2. For more information, please refer to the publication</p> <p><strong>Species_genome.proteins.uniprot.fa</strong>: Predicted protein sequences from the genome assembly of the species, in fasta format. Each protein is annotated with the best blast hit with SwissProt database. For more information, please refer to the publication</p> <p><strong>Species_genome.transcripts.uniprot.fa</strong>: Predicted coding sequences (CDS) from the genome assembly of the species, in fasta format. Each CDS is annotated with the best blast hit with SwissProt database. For more information, please refer to the publication</p> <p>For <em>Amphiprion ocellaris</em> data, additional to the files presented above, we provided as well the secondary results of the genome assembly using a de novo strategy (Aocellaris_GenomeDeNovo.fasta), its structural annotation (Aocellaris_GenomeDeNovo.Annotation.gff3), and its predicted protein (Aocellaris_GenomeDeNovo.proteins.uniprot.fa) and CDS (Aocellaris_GenomeDeNovo.transcripts.uniprot.fa) sequences. For more information, please refer to the publication</p>
Scoping review of the term 'genetic identity' - data extraction table
<p>This dataset comes from a systmatic scoping reivew of the term ‘genetic identity’ within different academic discourses. This review systematically identifies all uses of the term ‘genetic identity’ within the academic literature. Content analysis is used to code and categorize its use, and the emerging discourses are related to disciplinary perspective, year of publication, and geographical setting.</p>
A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals (GWAS)
<p>GWAS summary statistics accompanying manuscript "A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals".</p>
Together stronger: intracolonial genetic variability occurrence in Pocillopora corals suggests potential benefits
<p>We investigated the occurrence of intracolonial genetic variability (IGV) in <em>Pocillopora</em> corals in the Southwestern Indian Ocean. Ninety-six colonies were threefold-sampled from three sites in Reunion Island. Nubbins were genotyped using 13 microsatellite loci and their multilocus genotypes compared. Over 50% of the colonies presented at least two different genotypes among their three nubbins and IGV was found abundant in all sites (from 36.7 to 58.1%). To define the threshold distinguishing mosaicism from chimerism, we developed a new method based on different evolution models by computing the number of different alleles for the Infinite Allele Model (IAM) and the Bruvo’s distance for the Stepwise Mutation Model (SMM). Colonies were considered as chimeras if their nubbins differed from more than four alleles and if the pairwise Bruvo’s distance was higher than 0.12. Thus 80% of the IGV colonies were mosaics and 20% chimeras (representing almost 10% of the total sampling). IGV seems widespread in scleractinians and beyond the disabilities of this phenomenon reported in several studies, it should also bring benefits. Next steps are to identify these benefits and to understand processes leading to IGV, as well as factors influencing them.</p> <p>This dataset contains the 12 loci genotypes of the 288 nubbins.</p>
Keratinocytes derived from patient-specific iPSCs recapitulate the genetic signature of psoriasis disease
<p>Induced pluripotent stem cells (iPSCs) were generated from control (Ctrl) and two psoriasis patients (PsO1 and PsO2) having genetic background of psoriasis. The iPSCs were differentiated into epidermal keratinocytes as described in the article entitled "Keratinocytes derived from patient-specific iPSCs recapitulate the genetic signature of psoriasis disease" by Gowher et al. The dataset represent RNA-seq data generated from keratiocytes derived from ctrl-iPSCs and psoriasis patients iPSCs (PsO1 and PsO2).</p> <p>The file name is : Sample name with replicate_overall sample number_read direction_001 where:</p> <p>- Ctrl Rep1 and Ctrl Rep2: Keratinocytes derived from control (Ctrl-iPSCs). </p> <p>- PSO1 Rep1 and PSO1 Rep2: Keratinocytes derived from psoriasis patient iPSCs (PSO1-iPSCs)</p> <p>- PSO2 Rep1 and PSO2 Rep2: Keratinocytes derived from psoriasis patient iPSCs (PSO2-iPSCs).</p> <p>- RNA-seq data was generated from two biological repliicates (Rep1 and Rep2).</p> <p>- Read direction: R1 (Forward), R2 (Reverse).</p> <p> </p>
Supplementary Figure S1. Life on the edge: ecological genetics of a high arctic insect species and its circumpolar counterpart
<p>Pairwise comparisons of F<sub>ST</sub> values between the 38 samples of <em>A. brevicorne</em> (samples 1 to 9) and <em>A. svalbardicum</em> (10 to 38). F<sub>ST</sub> values in yellow= from 0 to 0.049, in pale orange = from 0.05 to 0.099, in dark orange = from 0.1 to 0.499, in red = above 0.5. Origins of samples are given in Table 1.</p>
Anthropogenic pressures drive population genetic structuring across a Critically Endangered lemur species range
<p>Includes initial input landscape surfaces (.acs) and final resistance surfaces (.out) generated during the current study.</p>
Figure 3. L1, L2 in Genetic lineages of Parisotoma notabilis sensu lato (Collembola) in Eastern Europe and the Caucasus
Figure 3. L1, L2, and L4-Hebert lineage finds in Eastern Europe.
Text-fig. 2. Scheme of position of primers on mtDNA D-loop (adopted from Gundry et al. 2007). in Genetic Analysis Of Possibly The Oldest Greyhound Remains Within The Territory Of The Czech Republic As Proof Of A Local Elite Presence At Chotěbuz-Podobora Hillfort In The 8 -9 Century Ad
Text-fig. 2. Scheme of position of primers on mtDNA D-loop (adopted from Gundry et al. 2007).
Figure 4 in Determination of genetic variations between Apodemus mystacinus populations distributed in Turkey inferred from mtDNA PCR-RFLP
Figure 4. UPGMA dendrogram of the composite data by combining cytb and D-loop regions.
Figure 1 in Phylogenetic status and genetic diversity of corsac fox (Vulpes corsac) in Golestan Province, Iran
Figure 1. Geographic location of collected samples.
ScienceDex guides
Understand access before you commit
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.