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

WHO Seeks Booster Pause

According to CNN, the World Health Organization is calling for a moratorium on administering SARS-CoV-2 vaccine boosters until more of the world has received initial doses.

For Those Long Legs

With its genome sequence and subsequent RNAi analyses, researchers have examined the genes that give long legs to daddy longlegs, New Scientist says.

September Plans

The New York Times reports that the US Food and Drug Administration is aiming for early September for full approval of the Pfizer-BioNTech SARS-CoV-2 vaccine.

Nucleic Acids Research Papers on Targeting DNA Damage Response, TSMiner, VarSAn

In Nucleic Acids Research this week: genetic changes affecting DNA damage response inhibitor response, "time-series miner" approach, and more.