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Top 10 Life Science Innovations of 2016
2016 has seen the release of some truly innovative products. To help you digest these developments, The Scientist have listed their top picks for the year.
Using Cancer Cells' Mass to Predict Treatment Response
A device has been developed that can detect changes in cell mass at a minute scale.
NVIDIA Awards $400k to Trailblazers in Cancer Research
NVIDIA Foundation furthers research that could lead to new and more targeted treatments with investments.
Malaria Parasite Evades Rapid Test Detection in Children
A study at the University of North Carolina found that gene deletion poses a threat to Malaria eradication efforts.
Working With Advanced Nanoimagers
Oxford Nanoimaging report on the work of early-adopters for their Nanoimager technology at the MRC Centre for Molecular Bacteriology and Infection.
History of Cells Told Through MEMOIR
MEMOIR technique developed by CalTech researchers enables the life history of cells to be read.
Nanoscale ‘Muscles’ Powered by DNA
Scientists have developed nanoscale "muscles" to integrate with custom DNA, that can force the material to bend, curl and flip.
Dissecting Bacterial Infections at the Single-Cell Level
Researchers have used single-cell analysis technology to provide new insight into the Salmonella infection process.
Peer Review is in Crisis, But Should be Fixed, Not Abolished
After the time to get the science done, peer review has become the slowest step in the process of sharing studies, and some scientists have had enough.
Cancer Stem Cells Fuel Tumor Growth
Mass. General, Broad Institute team finds strong evidence that cancer stem cells are important drivers of tumors in patients.
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Advanced Software for Real-Time PCR Data Analysis by Integromics
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Integromics

Got data? Get answers! Introducing Real-Time StatMiner™ by Integromics, an advanced analysis tool for qPCR data. Real-Time StatMiner™ is workflow oriented: a step-by-step guide to ensure reliable and accurate results using powerful statistics and interactive visualizations. Average time of analysis for all skill level users- just 10 minutes! Steps of the analysis consist of importing raw Ct data, performing quality control and outlier detection, examining correlation between biological replicates, selecting the optimal combination of endogenous controls for normalization based on stability algorithms, computing fold change and significance results for differential expression analysis, and enrichment of your gene lists using functional annotations (Panther, Gene Ontology etc.) from public databases with no required formatting of Excel worksheets! No need to waste time- get results now- try us out for 30-days.

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Integromics and TATAA Biocenter Collaborate to offer Comprehensive qPCR Data Analysis
The TATAA Biocenter is recommending Integromics’ RealTime StatMiner® as a complete solution for qPCR data analysis.
Monday, March 08, 2010
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