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Digging deeper in next generation sequencing data: identification of functional non-coding variants that contribute to neurological disorders (an SLI case study)

MPS-Authors
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Devanna,  Paolo
Neurogenetics of Vocal Communication Group, MPI for Psycholinguistics, Max Planck Society;

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Chen,  Xiaowei Sylvia
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Fisher,  Simon E.
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Vernes,  Sonja C.
Neurogenetics of Vocal Communication Group, MPI for Psycholinguistics, Max Planck Society;

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Citation

Devanna, P., Chen, X. S., Ho, J., Gajewski, D., Newbury, D., Gilissen, C., et al. (2016). Digging deeper in next generation sequencing data: identification of functional non-coding variants that contribute to neurological disorders (an SLI case study). Poster presented at the Language in Interaction Summerschool on Human Language: From Genes and Brains to Behavior, Berg en Dal, the Netherlands.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002B-9BBB-D
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