Present-day genomics from the Eurasian steppe
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00010001538 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:503 genotypes obtained from Illumina DNA-arrays. Available as plink formatted files
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Project description:502 present-day genotypes included in the "137 ancient human genomes from across the Eurasian steppe" publication
| PRJEB25647 | ENA
Project description:Genome-wide DNA Methylation Data from Illumina HumanMethylationEPIC arrays for whole blood samples from 570 healthy individuals. Raw IDAT files are available for a subset of 403 samples on EGA. Raw data (IDAT files) and associated phenotype information are available for all individuals included in this study (n=570) directly from CIBMTR. Data are available under controlled access release upon reasonable request and execution of a data use agreement. Requests should be submitted to CIBMTR at info-request@mcw.edu and include the study reference IB17-04.
2022-04-25 | GSE196696 | GEO
Project description:Data Access Committee EGAC00001000878
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Project description:For thousands of years, the Eurasian steppe has been a centre for human migrations and cultural changes. To understand its population history following the Bronze Age migrations, 137 ancient humans were sequenced. These ancient DNA sequences were notably compared to the genetic data of present-day populations from Eurasia. Besides already published data, 502 individuals currently living in Inner Asia and Jordania were sampled and newly genotyped on diverse DNA-arrays. These new data, merged as a single dataset of 242,406 autosomal SNPs, are included in the present ENA study.
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Project description:We analyzed copy numbers of 60 SCLC cell lines using 6.0 SNP-arrays. For a subgroup of 36 cell lines, previously published copy number data was utilized. CEL and SEG files are included for all cell lines, for which copy number data were not publicly available.
2012-09-21 | GSE40142 | GEO
Project description:Alphaherpesviruses, as large double-stranded DNA viruses, were long considered to be genetically stable and to exist in a homogeneous state. Recently, the proliferation of high-throughput sequencing (HTS) and bioinformatics analysis has expanded our understanding of herpesvirus genomes and the variations found therein. Recent data indicate that herpesviruses exist as diverse populations, both in culture and in vivo, in a manner reminiscent of RNA viruses. In this review, we discuss the past, present, and potential future of alphaherpesvirus genomics, including the technical challenges that face the field. We also review how recent data has enabled genome-wide comparisons of sequence diversity, recombination, allele frequency, and selective pressures, including those introduced by cell culture. While we focus on the human alphaherpesviruses, we draw key insights from related veterinary species and from the beta- and gamma-subfamilies of herpesviruses. Promising technologies and potential future directions for herpesvirus genomics are highlighted as well, including the potential to link viral genetic differences to phenotypic and disease outcomes.
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Project description:Collisional mountain belts grow as a consequence of continental plate convergence and eventually disappear under the combined effects of gravitational collapse and erosion. Using a decade of GPS data, we show that the western Alps are currently characterized by zero horizontal velocity boundary conditions, offering the opportunity to investigate orogen evolution at the time of cessation of plate convergence. We find no significant horizontal motion within the belt, but GPS and levelling measurements independently show a regional pattern of uplift reaching ~2.5 mm/yr in the northwestern Alps. Unless a low viscosity crustal root under the northwestern Alps locally enhances the vertical response to surface unloading, the summed effects of isostatic responses to erosion and glaciation explain at most 60% of the observed uplift rates. Rock-uplift rates corrected from transient glacial isostatic adjustment contributions likely exceed erosion rates in the northwestern Alps. In the absence of active convergence, the observed surface uplift must result from deep-seated processes.
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Project description:Bioinformatics has become an interdisciplinary subject due to its universal role in molecular biology research. The current status of Russia's bioinformatics research in Russia is not known. Here, we review the history of bioinformatics in Russia, present the current landscape, and highlight future directions and challenges. Bioinformatics research in Russia is driven by four major industries: information technology, pharmaceuticals, biotechnology, and agriculture. Over the past three decades, despite a delayed start, the field has gained momentum, especially in protein and nucleic acid research. Dedicated and shared centers for genomics, proteomics, and bioinformatics are active in different regions of Russia. Present-day bioinformatics in Russia is characterized by research issues related to genetics, metagenomics, OMICs, medical informatics, computational biology, environmental informatics, and structural bioinformatics. Notable developments are in the fields of software (tools, algorithms, and pipelines), use of high computation power (e.g. by the Siberian Supercomputer Center), and large-scale sequencing projects (the sequencing of 100 000 human genomes). Government funding is increasing, policies are being changed, and a National Genomic Information Database is being established. An increased focus on eukaryotic genome sequencing, the development of a common place for developers and researchers to share tools and data, and the use of biological modeling, machine learning, and biostatistics are key areas for future focus. Universities and research institutes have started to implement bioinformatics modules. A critical mass of bioinformaticians is essential to catch up with the global pace in the discipline.
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Project description:Compatibility between high-density oligonucleotide arrays is significantly affected by probe-level sequence information. With a careful filtering of the probes based on their sequence overlaps, data from different generations of microarrays can be combined more effectively. The dataset of 14 human muscle biopsy samples from patients with inflammatory myopathies that were hybridized on both HG-U95Av2 and HG-U133A human arrays for this purpose. Signal values from GCOS 1.2 with Detection call and p-value are provided here, and CEL files are also available for download. Keywords: parallel sample
2004-12-08 | GSE2044 | GEO