Job ID: 682725
Job date: 2019-03-29
End Date: 2019-05-20
Company : UC San Diego Country : United States Role : Postdoc
Job date: 2019-03-29
End Date: 2019-05-20
Company : UC San Diego Country : United States Role : Postdoc
Job Description:
A postdoctoral position in genome informatics is available in the Beyster Center for Genomics of Psychiatric Disease and the Institute for Genomic Medicine at UC San Diego. Led by Jonathan Sebat (http://sebatlab.ucsd.edu), the Beyster Center is a leader in the fields of human genome research and psychiatric genetics.The postdoctoral fellow will carry out research on a new NIH-funded study to apply new sequencing technologies to the identification of the genetic causes of autism. Discoveries from our laboratory have shown that rare Structural Variants (SVs) are strongly associated with autism.
Additional Info:
The goals of our current study are:
1) Whole genome sequencing of autism families using a combination of Illumina and Nanopore sequencing platforms
2) Develop novel computational methods for the detection of SVs from long reads.
3) Investigate the contribution of new categories de novo germline mutations and somatic mosaicism to risk for autism. These include rare protein coding mutations and variants that disrupt cis regulatory elements (CRE-SVs). [Click Here to Access the Original Job Post]
A postdoctoral position in genome informatics is available in the Beyster Center for Genomics of Psychiatric Disease and the Institute for Genomic Medicine at UC San Diego. Led by Jonathan Sebat (http://sebatlab.ucsd.edu), the Beyster Center is a leader in the fields of human genome research and psychiatric genetics.The postdoctoral fellow will carry out research on a new NIH-funded study to apply new sequencing technologies to the identification of the genetic causes of autism. Discoveries from our laboratory have shown that rare Structural Variants (SVs) are strongly associated with autism.
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Additional Info:
The goals of our current study are:
1) Whole genome sequencing of autism families using a combination of Illumina and Nanopore sequencing platforms
2) Develop novel computational methods for the detection of SVs from long reads.
3) Investigate the contribution of new categories de novo germline mutations and somatic mosaicism to risk for autism. These include rare protein coding mutations and variants that disrupt cis regulatory elements (CRE-SVs). [Click Here to Access the Original Job Post]