The ELIXIR Human Copy Number Variations Community: building bioinformatics infrastructure for research [version 1; peer review: 2 approved]
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...
Main Authors: | David Salgado, Irina M. Armean, Michael Baudis, Sergi Beltran, Salvador Capella-Gutierrez, Denise Carvalho-Silva, Victoria Dominguez Del Angel, Joaquin Dopazo, Laura I. Furlong, Bo Gao, Leyla Garcia, Dietlind Gerloff, Ivo Gut, Attila Gyenesei, Nina Habermann, John M. Hancock, Marc Hanauer, Eivind Hovig, Lennart F. Johansson, Thomas Keane, Jan Korbel, Katharina B. Lauer, Steve Laurie, Brane Leskošek, David Lloyd, Tomas Marques-Bonet, Hailiang Mei, Katalin Monostory, Janet Piñero, Krzysztof Poterlowicz, Ana Rath, Pubudu Samarakoon, Ferran Sanz, Gary Saunders, Daoud Sie, Morris A. Swertz, Kirill Tsukanov, Alfonso Valencia, Marko Vidak, Cristina Yenyxe González, Bauke Ylstra, Christophe Béroud |
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Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2020-10-01
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Series: | F1000Research |
Online Access: | https://f1000research.com/articles/9-1229/v1 |
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