Making sense of the data deluge

Advances in light microscopy allow the mapping of cell migration during embryogenesis and capture dynamic processes at the cellular level.

Out with toothpicks and pipettors; in with automation.

A researcher in Florida changes lives by showing struggling 20-somethings the ins and outs of life in the lab.

Untargeted metabolic profiling implicates a new suite of metabolites that may be involved in nerve damage-induced pain.

Tools and tricks for high-throughput flow cytometry

Three gene jockeys share their thoughts on past and future tools of the trade.

A trip through the transcriptome

Doing science sustainably

A newbie’s guide to crunching next-generation sequencing data

By Jeffrey M. Perkel Outsourcing your RNA How to get the most molecular bang for your buck when you send your RNA away “The essence of the scientific enterprise,” says Bill Nye, “the Science Guy,” “[is] the Joy of Discovery.”1 But that doesn’t mean it’s practical or even feasible for researchers to do all the discovering themselves. Take RNA expression analysis. With microarrays and next-gen sequencing, in situ

By Jeffrey M. Perkel Probing Proteins How to make sense of proliferating proteomics data…even if you’re not a proteomicist. Pity the poor protein biologist. DNA sequence gurus have GenBank, structural biologists, PDB. But those looking to data-mine the spectral peaks and valleys of today’s burgeoning proteomics literature are out of luck. Or are they? Several freely available databases are dedicated to the