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NEW YORK (GenomeWeb) – An international team of researchers has used genomic data to reconstruct how the Ebola virus spread during the recent West African epidemic.

Researchers led by the University of Edinburgh's Andrew Rambaut analyzed the genomes of more than 1,600 Ebola viruses to develop a picture of how Ebola moved within and between Guinea, Liberia, and Sierra Leone during the 2013 to 2016 outbreak. Some 28,600 people were infected and 11,300 died during that time, according to the World Health Organization.

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The Wall Street Journal looks into FamilyTreeDNA's handling of genetic genealogy searches by law enforcement.

In a point-counterpoint in the Boston Globe, researchers discuss the potential of gene editing to prevent Lyme disease, but also the pitfalls of doing so.

MIT's Technology Review reports that researchers hope to develop a CRISPR-based pain therapy.

In Science this week: atlas of malaria parasites' gene expression across their life cycles, and more.

Aug
29
Sponsored by
PerkinElmer

This webinar will outline how RUCDR Infinite Biologics, the world's largest university-based biorepository, has implemented workflows and processes to support precision medicine applications.

Sep
18
Sponsored by
Bionano Genomics

This webinar will outline how a team at Radboud University Medical Center is assessing ultra-long read optical mapping on the Bionano Saphyr system to replace classical cytogenetics approaches in routine testing and for the discovery of novel structural variants with potential scientific, prognostic, or therapeutic value that are missed by standard approaches.

Oct
01
Sponsored by
Thermo Fisher Scientific

This webinar will provide an overview of the sequencing capabilities of the Tumor Profiling Unit at the Institute for Cancer Research in London, with a focus on the lab's strategy for bringing in new genomics technologies.

Oct
03
Sponsored by
Agilent

This webinar will provide an overview of how an international reference laboratory has implemented an automated next-generation sequencing workflow with custom panels for analyzing cancer samples.