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Experimental Design and Data Analysis | SpringerLink

Microarrays are extremely powerful tools for the analysis of genomic expression levels in physiologic and pathologic phenomena.

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Oxford Nanopore Technologies (ONT) produces inexpensive DNA sequences, but has high error rates, which make sequence assembly and analysis difficult as genome ...

Principles in experimental design for evaluating genomic forecasts

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With the development of various bioinformatics applications, maintaining the productivity of research, managing human genome data, and analyzing ...

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Keywords: Antibodies; ChIP; ChIP-seq; Genome-wide; Guidelines; High-throughput sequencing; Library; Quality control; Replicates; Standards. Publication types.

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Chapter 10. Experimental Design: Statistical Analysis of Data

The mode is most useful when summarizing data measured on a nominal scale of measurement. It can also be valuable to describe a multimodal distribution, one in ...

Practical Guide to Design and Assess a Phylogenomic Study

Scientists can now address phylogenetic hypotheses in depth and breadth by analyzing thousands of genes leveraged from genomic data, the so-called phylogenomic ...

Efficient experimental design and analysis strategies for the ...

In the context of RNA sequencing, multiple nested levels of technical replication exist depending upon whether it is the sequence data generation, library ...

Experimental Design and Analysis - Statistics & Data Science

I don't think it makes much difference which statistical package you use for your analyses, but for practical reasons we must standardize on a ...