Tag: Zenodo

Multi-ancestry eQTL meta-analysis of human brain identifies candidate causal variants for brain-related traits

1. Jansen, I. E. et al. Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk. Nat. Genet. 51, 404–413 (2019). CAS  PubMed  PubMed Central  Google Scholar  2. Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014). PubMed…

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Failure to detect mutations in U2AF1 due to changes in the GRCh38 reference sequence

Materials and Methods Genomic data was collected as part of the MDS National History Study or The Cancer Genome Atlas project and consented appropriately under those protocols 8 Sekeres M.A. Gore S.D. Stablein D.M. DiFronzo N. Abel G.A. DeZern A.E. Troy J.D. Rollison D.E. Thomas J.W. Waclawiw M.A. Liu J.J….

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scikit-survival | Zenodo

Zenodo DOI Badge DOI 10.5281/zenodo.5831584 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5831584.svg)](https://doi.org/10.5281/zenodo.5831584) reStructedText .. image:: zenodo.org/badge/DOI/10.5281/zenodo.5831584.svg :target: doi.org/10.5281/zenodo.5831584 HTML <a href=”https://doi.org/10.5281/zenodo.5831584″><img src=”https://zenodo.org/badge/DOI/10.5281/zenodo.5831584.svg” alt=”DOI”></a> Image URL zenodo.org/badge/DOI/10.5281/zenodo.5831584.svg Target URL doi.org/10.5281/zenodo.5831584 Read more here: Source link

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intermine/intermine: InterMine 5.0.6 | Zenodo

Zenodo DOI Badge DOI 10.5281/zenodo.5827966 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5827966.svg)](https://doi.org/10.5281/zenodo.5827966) reStructedText .. image:: zenodo.org/badge/DOI/10.5281/zenodo.5827966.svg :target: doi.org/10.5281/zenodo.5827966 HTML <a href=”https://doi.org/10.5281/zenodo.5827966″><img src=”https://zenodo.org/badge/DOI/10.5281/zenodo.5827966.svg” alt=”DOI”></a> Image URL zenodo.org/badge/DOI/10.5281/zenodo.5827966.svg Target URL doi.org/10.5281/zenodo.5827966 Read more here: Source link

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Decoding gene regulation in the fly brain

1. Li, H. et al. Classifying Drosophila olfactory projection neuron subtypes by single-cell RNA sequencing. Cell 171, 1206–1220 (2017). CAS  PubMed  PubMed Central  Google Scholar  2. Davie, K. et al. A single-cell transcriptome atlas of the aging Drosophila brain. Cell 174, 982–998 (2018). CAS  PubMed  PubMed Central  Google Scholar  3….

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Bacting | Zenodo

Zenodo DOI Badge DOI 10.5281/zenodo.5506884 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5506884.svg)](https://doi.org/10.5281/zenodo.5506884) reStructedText .. image:: zenodo.org/badge/DOI/10.5281/zenodo.5506884.svg :target: doi.org/10.5281/zenodo.5506884 HTML <a href=”https://doi.org/10.5281/zenodo.5506884″><img src=”https://zenodo.org/badge/DOI/10.5281/zenodo.5506884.svg” alt=”DOI”></a> Image URL zenodo.org/badge/DOI/10.5281/zenodo.5506884.svg Target URL doi.org/10.5281/zenodo.5506884 Read more here: Source link

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The population frequency of human mitochondrial DNA variants is highly dependent upon mutational bias

Abstract Next-generation sequencing can quickly reveal genetic variation potentially linked to heritable disease. As databases encompassing human variation continue to expand, rare variants have been of high interest, since the frequency of a variant is expected to be low if the genetic change leads to a loss of fitness or…

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Ancestral polymorphisms shape the adaptive radiation of Metrosideros across the Hawaiian Islands

Significance Some of the most spectacular adaptive radiations of plants and animals occur on remote oceanic islands, yet such radiations are preceded by founding events that severely limit genetic variation. How genetically depauperate founder populations give rise to the spectacular phenotypic and ecological diversity characteristic of island adaptive radiations is…

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