The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.12688/f1000research.24887.1
Copy number variations (CNVs) are major causative contributors both in the genesis of genetic diseases and human neoplasias. While “High-Throughput” sequencing technologies are increasingly becoming the primary choice for genomic screening analysis, their ability to efficiently detect CNVs is still heterogeneous and remains to be developed. The aim of this white paper is to provide a guiding framework for the future contributions of ELIXIR’s recently established human CNV Community, with implications beyond human disease diagnostics and population genomics. This white paper is the direct result of a strategy meeting that took place in September 2018 in Hinxton (UK) and involved representatives of 11 ELIXIR Nodes. The meeting led to the definition of priority objectives and tasks, to address a wide range of CNV-related challenges ranging from detection and interpretation to sharing and training. Here, we provide suggestions on how to align these tasks within the ELIXIR Platforms strategy, and on how to frame the activities of this new ELIXIR Community in the international context.
Related Topics
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.12688/f1000research.24887.1
- https://f1000research.com/articles/9-1229/v1/pdf
- OA Status
- gold
- Cited By
- 6
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3093456527
Raw OpenAlex JSON
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https://openalex.org/W3093456527Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.12688/f1000research.24887.1Digital Object Identifier
- Title
-
The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for researchWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-10-13Full publication date if available
- Authors
-
David Salgado, Irina M. Armean, Michael Baudis, Sergi Beltrán, Salvador Capella‐Gutierrez, Denise Carvalho‐Silva, Victoria Domínguez Del Angel, Joaquı́n Dopazo, Laura I. Furlong, Bo Gao, Leyla García, Dietlind L. Gerloff, Marta Gut, Attila Gyenesei, James E. Haber, John M. Hancock, Marc Hanauer, Eivind Hovig, Lennart Johansson, Thomas Keane, Jan O. Korbel, Katharina B. Lauer, Steven Laurie, Brane Leskošek, David Lloyd, Tomàs Marquès‐Bonet, Hailiang Mei, Katalin Monostory, Janet Piñero, Krzysztof Poterlowicz, Ana Rath, Pubudu Samarakoon, Ferrán Sanz, Gary Saunders, Daoud Sie, Morris A. Swertz, Kirill Tsukanov, Alfonso Valencia, Marko Vidak, Cristina González, Bauke Ylstra, Christophe BéroudList of authors in order
- Landing page
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https://doi.org/10.12688/f1000research.24887.1Publisher landing page
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https://f1000research.com/articles/9-1229/v1/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://f1000research.com/articles/9-1229/v1/pdfDirect OA link when available
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Elixir (programming language), Context (archaeology), Genomics, Copy-number variation, Population, Biology, Computational biology, Bioinformatics, Medicine, Computer science, Genetics, Genome, Gene, Environmental health, Programming language, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2023: 1, 2022: 2, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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43Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.“High-Throughput” | 19 |
| abstract_inverted_index.<ns5:italic>h</ns5:italic><ns5:italic>uman | 66 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 10 |
| institutions_distinct_count | 42 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
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| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
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| citation_normalized_percentile.is_in_top_10_percent | False |