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Benchtop Automation Trends
Gain a better understanding of current interest in and future deployment of benchtop automated systems.
Measuring the Abundance of Extremely Rare Mutations
Researchers from Rutgers University demonstrate the use of multiplex real-time PCR assays to measure the abundance of extremely rare mutations associated with cancer.
Harnessing Helpful Microbes
Seeking to further harness microbes’ many uses, the federal government has launched the National Microbiome Initiative (NMI) to “foster the integrated study of microbiomes across different ecosystems.”
What Makes a Good Scientist?
It’s the journey, not just the destination that counts as a scientist when conducting research.
New Tool Could Change How Infectious Diseases Are Diagnosed
Scientists at the University of Utah School of Medicine, ARUP Laboratories, and IDbyDNA, Inc., have developed ultra-fast, meta-genomics analysis software called Taxonomer that dramatically improves the accuracy and speed of pathogen detection.
Finding Zika One Paper Disc At A Time
A novel, inexpensive method for detecting the Zika virus could help slow spread of outbreak, and potentially other future pandemic diseases.
Rapid Diagnosis of Bacterial Infections
Mass. General-developed compact system could shorten diagnostic time from days to hours, bring testing to point of care.
Monovar Drills Down Into Cancer Genome
Rice, MD Anderson develop program to ID mutations in single cancer cells.
Biomarkers for Profiling Prostate Cancer Patients
Exiqon A/S has announced the publication of validation of prognostic microRNA biomarkers for the aggressiveness of prostate cancer in independent cohorts.
Gene Analysis System Could Accelerate Pace of Research on the Space Station
The WetLab-2 system will enable spaceflight genomic studies involving a wide variety of biospecimen types in the unique microgravity environment of space.
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DNA Sequence will accept original high quality reports based on mapping, sequencing and analysis of DNA and RNA, irrespective of supporting biological or functional data. Acceptable reports may describe coding or non-coding features of a single locus or whole genomes. Features of interest include e.g. genes (incl. RNA genes), variation, promoters, epigenetic modifications and any features affecting DNA/RNA function, structure and evolution. Experimental and computational method reports on the above topics are equally acceptable.

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