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Omics

Diagnostics Genetics and epigenetics

SMRT Long-Read Sequencing Solves Genetic Mysteries

| Luke Hickey

How new approaches to sequencing can help diagnose previously intractable rare genetic disorders

Diagnostics Genetics and epigenetics

Precision Medicine: The Next Generation

| David Fenstermacher

Precision medicine is creating a sea change in healthcare and biomedical research. Is your lab prepared for the approaching tsunami of genetic tests?

Diagnostics Genetics and epigenetics

The African Imperative

| Aminu Yakubu

Genomics research is hampered by the fact that current reference genomes don’t take into account the vast diversity of human populations

Diagnostics Genetics and epigenetics

Revisiting the Real Impact

| Sponsored by Thermo Fisher Scientific

Oncologist and clinical researcher Elena Garralda shares her opinion on the benefits of rapid turnaround times for next-generation sequencing results

Inside the Lab Precision medicine

The Next Generation of Variant Profiling

| Anoop Grewal

In-depth analysis of next-generation sequencing can help personalize cancer treatment and drive the adoption of precision medicine

Diagnostics Genetics and epigenetics

Unraveling Complexity

| Michael Schubert

A new kind of deep learning model uses nonlinear information to draw new associations between genes and diseases

Diagnostics Genetics and epigenetics

A Pharmacogenomic Promise

| Michael Schubert

Pharmacogenomic testing can only improve patient care if it’s clinically validated, judiciously applied, and easily understood by healthcare providers

Diagnostics Genetics and epigenetics

Exploring the Epi-signature

| Luke Turner

New research shows that genome-wide testing of DNA methylation can diagnose previously unsolved cases of neurodevelopmental and congenital anomalies

Diagnostics Liquid biopsy

IAs – IDed

| Jonathan James

The transcriptome of circulating neutrophils may contain a signature that allows the early detection of intracranial aneurysms via blood test

Diagnostics Omics

A Microbial Map to Cancer

| Michael Schubert

A new study uses machine learning to perform meta-analysis of eight metagenomic studies linking gut microbial signatures with colorectal cancer.


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