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Opinion: Deductive Science Is Needed for Public Health
Opinion: Deductive Science Is Needed for Public Health
Big data and empirical approaches to understanding diseases provide a limited picture of pathogenesis.
Opinion: Deductive Science Is Needed for Public Health
Opinion: Deductive Science Is Needed for Public Health

Big data and empirical approaches to understanding diseases provide a limited picture of pathogenesis.

Big data and empirical approaches to understanding diseases provide a limited picture of pathogenesis.

data analysis
Infographic: Partitioning the Genome
Infographic: Partitioning the Genome
Catherine Offord | Nov 30, 2016
To make sense of the genetic variation within species, researchers are turning to the concept of the pangenome.
Learning Bioinformatics
Learning Bioinformatics
Esther Landhuis | Jul 1, 2016
In today’s data-heavy research environment, wet-lab scientists can benefit from new computational skills.
Scaling to Singles
Scaling to Singles
Kelly Rae Chi | May 1, 2016
Tips for tracing transcription in individual cells
How to Use P-Values Correctly
How to Use P-Values Correctly
Kerry Grens | Mar 9, 2016
The American Statistical Association offers guidance on best practices for the oft-misused tool.
Free Flow
Free Flow
Jeffrey M. Perkel | Dec 1, 2015
A sampling of free software for flow cytometry data analysis
Data “Overflow” Compromising Science?
Data “Overflow” Compromising Science?
Bob Grant | Sep 25, 2015
According to a new study, the deluge of scientific literature is leaving researchers unsure of which information to trust.
Get With the Program
Get With the Program
Jeffrey M. Perkel | Aug 1, 2015
DIY tips for adding coding to your analysis arsenal
An Array of Options
An Array of Options
Kate Yandell | Jun 1, 2015
A guide for how and when to transition from the microarray to RNA-seq
Turning Data into Discovery
Turning Data into Discovery
Vicki Chandler | Jun 1, 2015
To make the most of the current data deluge, we must reward interdisciplinary researchers who identify and apply the most appropriate analysis methods.