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» cancer, PCR and genetics & genomics

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image: Pinpointing the Culprit

Pinpointing the Culprit

By | June 1, 2017

Identifying immune cell subsets with CyTOF

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image: A Selection of CRISPR Proof-of-Principle Studies

A Selection of CRISPR Proof-of-Principle Studies

By | March 1, 2017

Advice on how to deploy the latest techniques in your own lab

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image: Discovering Novel Antibiotics

Discovering Novel Antibiotics

By | February 1, 2017

Three methods identify and activate silent bacterial gene clusters to uncover new drugs

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image: Characterizing the Imprintome

Characterizing the Imprintome

By | January 1, 2017

Three techniques for identifying the collection of maternal and paternal genes silenced in offspring

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image: Using Raman Spectroscopy to Identify Cell Types

Using Raman Spectroscopy to Identify Cell Types

By | December 1, 2016

Improvements in instruments and statistical tools allow the capture and analysis of large data sets.

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image: Techniques for Assessing Genomic Copy Number Variations

Techniques for Assessing Genomic Copy Number Variations

By | October 1, 2016

As the importance of genomic copy number variations for health and disease becomes clearer, researchers are creating new ways to detect these changes in the genome.

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Tips on how to surmount the challenges of working with CRISPR to manipulate genes in human stems cells to study their function in specific diseases or to correct genetic defects in patient cells.

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image: How to Build Bioinformatic Pipelines Using Galaxy

How to Build Bioinformatic Pipelines Using Galaxy

By | August 1, 2016

A point-and-click interface alternative to command-line tools that allows researchers to easily create, run, and troubleshoot serial sequence analyses

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image: The Genetic Components of Rare Diseases

The Genetic Components of Rare Diseases

By | July 1, 2016

Techniques for determining which genes or genetic variants are truly detrimental

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image: Screening  with CRISPR

Screening with CRISPR

By | June 1, 2016

Ever-improving CRISPR-based tools are already ripe for large-scale genetic screens.

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