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669 results for “comparative genomics”
Comparative genomics of fungi in Nectriaceae reveals their environmental adaptation and conservation strategies
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Figure 5 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 5. Gene family and time-calibrated evolution analyses of 28 litostomateans and two spirotricheans. Ages are given as million years ago (Mya). Calibrated nodes are indicated with a star. Numbers asser "+" and "-" represent the expanded or contracted gene families in each branch* respectively. MRCA* the most recent common ancestor; H* subclass Haptoria; R* subclass Rhynchostomatia; º* subclass ºrichostomatia; CZ* Cenozoic; MZ* Mesozoic; NP* Neoproterozoic; PZ* Palaeozoic.
Figure 6 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 6. Heatmap showing the bias of stop codon usage among 28 litostomatean ciliates. H* subclass Haptoria; R* subclass Rhynchostomatia; º* subclass ºrichostomatia.
Figure 3. Phylogenomic tree estimated from a in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 3. Phylogenomic tree estimated from a concatenated dataset of 1680 orthogroups of 28 litostomateans and two spirotricheans
Figure 3. Phylogenomic tree estimated from a in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 3. Phylogenomic tree estimated from a concatenated dataset of 1680 orthogroups of 28 litostomateans and two spirotricheans by maximum likelihood (ML) and Bayesian inference (BI) methods. Sequences from the present study are in bold. Ŋe numbers at the nodes are the bootstrap values of ML out of 1000 pseudoreplicates and the posterior probability of Bayesian analysis* respectively. Ŋe black dots represent full support values both in the ML and in the BI trees. º* subclass ºrichostomatia; H* subclass Haptoria; R* subclass Rhynchostomatia.
Figure 2 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 2. Comparative analysis of 28 litostomatean ciliates. A* UpSet plot of shared orthogroups among the three litostomatean subclasses. B* GO enrichment analysis of conserved orthogroups in Litostomatea. C* heatmap showing the number of shared genes among 28 litostomatean ciliates. º* subclass ºrichostomatia; H* subclass Haptoria; R* subclass Rhynchostomatia.
Figure 7 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 7. Ŋe length distribution (A–C) and motif (C–E) of the introns detected in Monodinium sp.* Myriokaryon sp.* and Apodileptus visscheri.
Figure 1 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 1. Maps showing the location of the sampling sites and photomicrographs showing the in vivo morphology of the 14 litostomatean ciliates for which omics' data were newly obtained.
Figure 4 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 4. Carbohydrate-Active Enzymes Database (CAZy) annotation results of 28 litostomatean ciliates. A* comparison of the number of CAZymes in 28 litostomatean ciliates. B* CAZy function classification diagrams of three newly sequenced litostomateans (Didinium sp.1* Myriokaryon sp.* and Apodileptus visscheri). º* subclass ºrichostomatia; H* subclass Haptoria; R* subclass Rhynchostomatia.
Figure 2 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 2. Comparative analysis of 28 litostomatean ciliates. A* UpSet plot of shared orthogroups among the three litostomatean subclasses. B*
Supporting data for: A comparative analysis of planarian genomes reveals regulatory conservation in the face of rapid structural divergence
<p>This upload contains genome assemblies and annotation files for four planarian species. </p> <h2>Genome assemblies</h2> <p>The genome assemblies are deposited as FASTA files with the ending '.fa.gz'.</p> <h2>Genome annotations</h2> <p>The genome annotations are deposited as gff3 files and contain the 'ENCODE' keyword.</p> <p>Integration into Wormbase are currently ongoing to provide userfriendly access.</p> <h2>Transposable element annotation</h2> <p>Transposable element annotation performed with the EDTA pipeline are deposited as GFF3 files with the file ending '.EDTA.TEanno.gff3.gz'.</p> <h2>Satellite DNA</h2> <p>Repetitive satellite regions annotated using RepeatExplorer and SRF are deposited as GFF3 files with the ending 'satDNA.gff3'.</p>
Data from: Comparative population genomics of latitudinal variation in D. simulans and D. melanogaster
Examples of clinal variation in phenotypes and genotypes across latitudinal transects have served as important models for understanding how spatially varying selection and demographic forces shape variation within species. Here we examine the selective and demographic contributions to latitudinal variation through the largest comparative genomic study to date of Drosophila simulans and D. melanogaster, with genomic sequence data from 382 individual fruit flies, collected across a spatial transect of 19 degrees latitude and at multiple timepoints over two years. Consistent with phenotypic studies, we find less clinal variation in D. simulans than D. melanogaster, particularly for the autosomes. Moreover, we find that clinally varying loci in D. simulans are less stable over multiple years than comparable clines in D. melanogaster. D. simulans shows a significantly weaker pattern of isolation by distance than D. melanogaster and we find evidence for a strong contribution of annual re-migration to D. simulans population genetic structure. While population bottlenecks and migration can plausibly explain the differences in amount and stability of clinal variation between the two species, we also observe a significant enrichment of shared clinal genes, suggesting that the selective forces associated with climate are acting on the same genes and phenotypes in D. simulans and D. melanogaster.
Comparative Analysis of Complete Chloroplast Genomes and Multiple DNA Sequences Reveals Interspecific Relationships of C. bretschneideri and Related Species in China
<p><strong> ITS, and <em>LEAFY</em> intron 1 sequencing of 36 Crataegus accessions.</strong></p>
Comparative Analysis of Complete Chloroplast Genomes of 13 Species in Epilobium, Circaea, and Chamaenerion and Insights into Phylogenetic Relationships of Onagraceae
<p>This is all the alignments which used to constructed a phylogenetic tree in our study about Onagraceae. The evening primrose family, Onagraceae, is a well defined family of the order Myrtales, which comprises 22 genera widely distributed from boreal to tropical areas. In the present study, we report and characterize the complete chloroplast genome sequences of 13 species in <em>Circaea</em>,<em> Chamaenerion</em>, and <em>Epilobium</em> using a next-generation sequencing method. We also retrieved plastome sequences from two other Onagraceae genera to characterize the chloroplast genome of the family. The complete plastomes of Onagraceae showed a typical quadripartite structure and encoded an identical set of 112 genes (with exclusion of duplication), including 78 protein-coding genes, 30 transfer RNAs, and four ribosomal RNAs. The results show that chloroplast genomes are basically conserved in gene arrangement across the family. Whereas, a large segment of inversion was detected in the LSC region of all samples in the<em> Oenothera </em>subsect. <em>Oenothera</em>. An inverted repeat (IR) contraction was found in <em>Circaea</em> and<em> Ludwigia </em>samples. We also compared chloroplast genomes across the Onagraceae samples and revealed similarities in some features, including nucleotide content, codon usage, RNA editing sites, and simple sequence repeats (SSRs). Phylogeny was inferred by the chloroplast genome data using maximum-likelihood (ML) and Bayesian inference (BI) methods. The generic relationship of Onagraceae was well resolved by the complete plastome sequences, showing potential value in inferring phylogeny within the family. <em>Oenothera </em>phylogeny was better resolved than other densely sampled genera. Biparental transmission may be the main cause of higher variation in the genus<em> Oenothera</em>.</p>
Comparative genome anatomy of the male and female silver arowanas provides an improved understanding of sex determination mechanisms in teleosts
<p><span>Silver arowana, <em>Osteoglossum</em> <em>bicirrhosum</em>, is sexually monomorphic, and its sex determination mechanism is poorly understood, which has been a major hurdle in its captive breeding. To this end, we assembled two high-quality chromosome-level genomes for each sex of silver arowana, with chromosome N50 of 10.6 Mb and 10.4 Mb in female and male individuals, respectively. Combing re-sequencing data of 109 individuals, we identified two sex-specific SNPs and confirmed a ZW model of sex-determination in this species. Both sex-specific SNPs are located in about 26Kb upstream of <em>foxl2</em> gene. Since <em>foxl2</em> has been confirmed to be differentially expressed in the gonads of silver arowana, it probably plays an important role in sex determination via the cross-regulation with auxiliary genes significantly correlated to it, such as <em>dmrt1</em>, <em>sox8a</em> and <em>cyp11a1</em>, etc. The sex chromosomes are homomorphic with a potentially recent origin, as linkage disequilibrium analysis showed minor recombination suppression. Overall, we developed accurate molecular markers for sex identification of silver arowana in each developmental stage, subsequently improving the reproductive efficiency and further promoting the industrial development.</span></p>
Comparative Genomic and Genetic Analysis of Paired Primary Breast - Metastatic Tumor Specimens Using High-throughput Platforms
ClinicalTrials.gov study NCT01227733. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Preimplantation Genetic Diagnosis (PGD) by Array Comparative Genome Hybridization (CGH) and Blastocyst Biopsy
ClinicalTrials.gov study NCT01332643. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Identification of GENEtic Markers of Aggressiveness and Malignancy by Array Comparative Genomic Hybrization Analysis (CGH)
ClinicalTrials.gov study NCT01903967. IPD Sharing: Not stated. Countries: 1. Publications: 2.
NICUSeq: A Trial to Evaluate the Clinical Utility of Human Whole Genome Sequencing (WGS) Compared to Standard of Care in Acute Care Neonates and Infants
ClinicalTrials.gov study NCT03290469. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation of the Relevance of Comparative Genomic Hybridization in Prenatal Diagnosis
ClinicalTrials.gov study NCT04814563. IPD Sharing: Not stated. Countries: 1. Publications: 7.
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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.