Skip to main content
Premium Trial:

Request an Annual Quote

Genome Technology s Lab Notebook: Reader Tips and Experiences: Feb 17, 2005

Following is a scientist's responses to the question, "What's your top advice for designing a microarray-analysis experiment to ensure that your statistical analysis, control for error, and normalization procedures will give you an accurate end-answer?"


For a complete list of scientists' responses, read the November/December issue of Genome Technology, a GenomeWeb News sister publication.

"I'd say that the most important things are sufficient replication, preferably at the level of biological replicates.


"Understand your sources of non-biological variation, and try and design it such that those sources will not confound the biological variation. That is, if you are running 20 arrays, 10 from treated, and 10 from untreated samples, don't do all the treated on one day, and the untreated on another. The same idea holds for any potential source of variation, e.g. if you're using different microarray batches, or different hybridization chambers or water baths."


Gavin Sherlock

Director, Microarray Informatics


The Scan

Mosquitos Genetically Modified to Prevent Malaria Spread

A gene drive approach could be used to render mosquitos unable to spread malaria, researchers report in Science Advances.

Gut Microbiomes Allow Bears to Grow to Similar Sizes Despite Differing Diets

Researchers in Scientific Reports find that the makeup of brown bears' gut microbiomes allows them to reach similar sizes even when feasting on different foods.

Finding Safe Harbor in the Human Genome

In Genome Biology, researchers present a new approach to identify genomic safe harbors where transgenes can be expressed without affecting host cell function.

New Data Point to Nuanced Relationship Between Major Depression, Bipolar Disorder

Lund University researchers in JAMA Psychiatry uncover overlapping genetic liabilities for major depression and bipolar disorder.