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NEW YORK (GenomeWeb News) – DiaGenic today said that it has received a NOK 7.8 million ($1.3 million) grant from the Norwegian Research Council for an Alzheimer's disease diagnostics program.

The Oslo, Norway-based firm said that the project is aimed at improving the robustness and reducing the cost of blood-based tests for Alzheimer's disease. Specifically, the project will focus on the use of microRNAs for early diagnosis of the disease.

Clinical samples will be sourced from DiaGenic's biobank and the HUNT Biosciences biobank, DiaGenic said.

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St. Jude Children's Research Hospital scientists have treated infants with X-linked severe combined immunodeficiency using gene therapy in an early phase study.

Bloomberg reports that the DNA-for-cash deal reported in Kentucky might be a more widespread scam.

St. Louis Public Radio reports that some African Americans are turning to DNA ancestry testing to help guide genealogical searches.

In Nature this week: a genomic analysis of the snailfish Pseudoliparis swirei, ancient DNA analysis gives insight into the introduction of farming to England, and more.

Apr
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Lexogen

This webinar will discuss novel long-read transcript sequencing (LRTseq) methods for transcriptome annotation that could increase the efficiency and accuracy of future sequencing projects.

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Sysmex Inostics

This webinar will present recent evidence that demonstrates how incorporating circulating tumor DNA (ctDNA) assessments into real-world patient management can influence patient care decisions, alter radiographic interpretations, and impact clinical outcomes.

May
15
Sponsored by
Thermo Fisher Scientific

This webinar will discuss how Radboud University Medical Center’s Department of Human Genetics is using exon-level copy number variant (CNV) detection by microarray to assist its efforts in constitutional genome testing. 

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PerkinElmer

This webinar will discuss a comprehensive end-to-end workflow for soil metagenomic shotgun sequencing that offers an unbiased alternative to amplicon-based approaches to assess the composition of culture-free microbial communities and predict functional profiles.