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We are pleased to announce our upcoming online course “Generalised Linear Models in R”, taking place 25–29 May.
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Dear all,
We are pleased to announce our upcoming online course “Generalised Linear Models in R”, taking place 25–29 May.
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Foundation, co-evolution with NGS, and impact
Population genomics is the use of DNA data from entire populations to understand the genetic makeup of a group of individuals, human or otherwise. We previously covered the basics of population genomics and how next-generation sequencing (NGS) expanded the field here.1 Since then, population genomics has co-evolved with NGS to achieve measurable impacts in several areas.
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Cancer is increasingly understood as an ecosystem in which tumor cells co-evolve with immune, stromal, and vascular components of the surrounding tumor microenvironment (TME). These interactions affect disease progression, therapeutic response, and the emergence of resistance. Yet, the molecular mechanisms underlying these processes have long been difficult to resolve. Next-generation sequencing (NGS) technologies now enable high-resolution analysis of this dynamic landscape. Whole-genome...-
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Synthetic biology has advanced quickly in the last decade, and a lot of that is because of next-generation sequencing (NGS). In synthetic biology, engineering principles are applied to biological systems, to modify or create new biological organisms or molecules. Because of this, the working paradigm is the design-build-test-learn (DBTL) cycle.
With the instructions to every organism, system, or molecule being encoded in DNA, NGS is crucial for all...-
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