Next Generation Sequencing

CSO at CLC bio, Bjarne Knudsen and Michael M. Miyamoto from the University of Florida recently wrote an article in BMC Bioinformatics.

The article illustrates how the mutation rate in a population can be efficiently estimated, even with data affected by a number of practical issues such as sequencing errors, missing haplotype information, and missing data. The premise is that sequence errors generally give rise to unique mutations only found in a single sequence. By ignoring such singletons and adjusting the coalescent based calculations accordingly, efficient estimates can be obtained while not loosing too much information.

Click to read the entire “Accurate and fast methods to estimate the population mutation rate from error prone sequences” article