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Join MNG Laboratories' Chief Medical Officer, Dr. Peter L. Nagy, and the Clinical Reporting Team as they present multiple case studies illustrating the value of using complementary testing and data analysis methods to increase the clinical sensitivity of MNG’s genetic testing portfolio. The team will highlight cases solved through the application of high resolution CNV assessment, mitochondrial DNA analysis, transcriptome/RNA sequencing, and repeat expansion screening from genome sequencing datasets.

Sponsored by

Wired reports on how genetic genealogy's use in forensics has exploded in the year since an arrest in the Golden State Killer case was made.

Retraction Watch reports that the increase in retracted papers at a journal is due to more resources there to tackle publication ethics.

New York City has settled with a forensic scientist who was fired after questioning a DNA testing approach used by the medical examiner's office, the New York Times reports.

In Nature this week: technique for measuring replication fork movement, WINTHER trial results, and more.

Apr
30
Sponsored by
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.

May
08
Sponsored by
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. 

May
16
Sponsored by
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.