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Jack Rudd

Managing Editor

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Writes for:

Cancer Research Genomics Research

Latest Content From Jack Rudd

Genome Biology: Fostering Partnerships and Advancing Research
Industry Insight

Two of the most important conferences in genome biology are coming together this year for a single event at the Earlham Institute in Norwich: Genome Science and Genome 10K.

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Creating an Environmentally Sustainable Lab
Infographic

Discover opportunities for improving the sustainability of your lab.

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Improving Efficiency with Lab Automation
Infographic

Automation and robotics are increasingly prominent features in the laboratory. Freeing up scientists to be creative and transforming the working day for many individuals.

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Molecular Cancer Therapeutics: Antibodies for fighting cancer
Article

Learn about novel antibody-based strategies for boosting the immune system to control cancer.

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High Throughput Screening – Accelerating drug discovery efforts
Article

High throughput screening continues to drive early-stage drug discovery through technological advances and process optimization.

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Bringing the Genomic Revolution to Reproductive Health
Article

To find out about the history of carrier screening and the tools being developed to overcome challenges in the field we spoke to Dr. Doron Behar, CEO of Igentify, and CSO of Gene by Gene.

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Managing the Genomics Data Deluge
Article

With such tremendous amounts of data being produced, adequate storage capacity and methodology will be crucial for the advancement of genomic research and medicine.

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Advancing Molecular Diagnostics with dPCR
Article

To find out about the potential clinical utility of dPCR we spoke to Jim Huggett, Principal Scientist, LGC, Senior Lecturer, The University of Surrey.

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7 Data Challenges in the Life Sciences
List

In this list, we bring together 7 of the biggest data challenges faced by scientists right now.

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Challenges in Genetic Data Management
Infographic

Genomics is a big data science and is going to get much bigger, very soon. With data storage facilities already struggling to keep up, many believe that the challenges of genetic data management are only just beginning.

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