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Andreas Schlattl
Researcher at European Bioinformatics Institute
Publications - 8
Citations - 3934
Andreas Schlattl is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Genome & Genomics. The author has an hindex of 5, co-authored 6 publications receiving 3168 citations.
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Journal ArticleDOI
An integrated map of structural variation in 2,504 human genomes
Peter H. Sudmant,Tobias Rausch,Eugene J. Gardner,Robert E. Handsaker,Robert E. Handsaker,Alexej Abyzov,John Huddleston,Yan Zhang,Kai Ye,Goo Jun,Goo Jun,Markus His Yang Fritz,Miriam K. Konkel,Ankit Malhotra,Adrian M. Stütz,Xinghua Shi,Francesco Paolo Casale,Jieming Chen,Fereydoun Hormozdiari,Gargi Dayama,Ken Chen,Maika Malig,Mark Chaisson,Klaudia Walter,Sascha Meiers,Seva Kashin,Seva Kashin,Erik Garrison,Adam Auton,Hugo Y. K. Lam,Xinmeng Jasmine Mu,Xinmeng Jasmine Mu,Can Alkan,Danny Antaki,Taejeong Bae,Eliza Cerveira,Peter S. Chines,Zechen Chong,Laura Clarke,Elif Dal,Li Ding,S. Emery,Xian Fan,Madhusudan Gujral,Fatma Kahveci,Jeffrey M. Kidd,Yu Kong,Eric-Wubbo Lameijer,Shane A. McCarthy,Paul Flicek,Richard A. Gibbs,Gabor T. Marth,Christopher E. Mason,Androniki Menelaou,Androniki Menelaou,Donna M. Muzny,Bradley J. Nelson,Amina Noor,Nicholas F. Parrish,Matthew Pendleton,Andrew Quitadamo,Benjamin Raeder,Eric E. Schadt,Mallory Romanovitch,Andreas Schlattl,Robert Sebra,Andrey A. Shabalin,Andreas Untergasser,Jerilyn A. Walker,Min Wang,Fuli Yu,Chengsheng Zhang,Jing Zhang,Xiangqun Zheng-Bradley,Wanding Zhou,Thomas Zichner,Jonathan Sebat,Mark A. Batzer,Steven A. McCarroll,Steven A. McCarroll,Ryan E. Mills,Mark Gerstein,Ali Bashir,Oliver Stegle,Scott E. Devine,Charles Lee,Evan E. Eichler,Jan O. Korbel +87 more
TL;DR: In this paper, the authors describe an integrated set of eight structural variant classes comprising both balanced and unbalanced variants, which are constructed using short-read DNA sequencing data and statistically phased onto haplotype blocks in 26 human populations.
Journal ArticleDOI
DELLY: structural variant discovery by integrated paired-end and split-read analysis
TL;DR: An SV discovery method that integrates short insert paired-ends, long-range mate-pairs and split-read alignments to accurately delineate genomic rearrangements at single-nucleotide resolution, called DELLY, which enables to ascertain the full spectrum of genomic rearrANGements, including complex events.
Journal ArticleDOI
Relating CNVs to transcriptome data at fine resolution: Assessment of the effect of variant size, type, and overlap with functional regions
TL;DR: The results suggest that association studies can gain in resolution and power by including fine-scale CNV information, such as those obtained from population-scale sequencing, as well as elucidated unexpected cases of negative correlations between copy number and expression.
Journal ArticleDOI
The Baker's Yeast Diploid Genome Is Remarkably Stable in Vegetative Growth and Meiosis
K. T. Nishant,Wu Wei,Eugenio Mancera,Juan Lucas Argueso,Andreas Schlattl,Nicolas Delhomme,Xin Ma,Carlos Bustamante,Jan O. Korbel,Zhenglong Gu,Lars M. Steinmetz,Eric Alani +11 more
TL;DR: The results indicate that the diploid yeast nuclear genome is remarkably stable during the vegetative and meiotic cell cycles and support the hypothesis that peripheral regions of chromosomes are more dynamic than gene-rich central sections where structural rearrangements could be deleterious.
Journal ArticleDOI
Systematic inference of copy-number genotypes from personal genome sequencing data reveals extensive olfactory receptor gene content diversity.
Sebastian M. Waszak,Yehudit Hasin,Thomas Zichner,Tsviya Olender,Ifat Keydar,Miriam Khen,Adrian M. Stütz,Andreas Schlattl,Doron Lancet,Jan O. Korbel +9 more
TL;DR: The utility of CopySeq for analyzing gene regions enriched for segmental duplications is demonstrated by comprehensively inferring copy-number genotypes in the CNV-enriched >800 olfactory receptor (OR) human gene and pseudogene loci and for several OR loci the reference genome appears to represent a minor-frequency variant.