Gene-based bin analysis of genome-wide association studies.

Background: With the improvement of genotyping technologies and the exponentially growing number of available markers, case-control genome-wide association studies promise to be a key tool for investigation of complex diseases. However new analytical methods have to be developed to face the problems induced by this data scale-up, such as statistical multiple testing, data quality control and computational tractability.

Results: We present a novel method to analyze genome-wide association studies results.

Transcription/replication collisions cause bacterial transcription units to be longer on the leading strand of replication.

Motivation: The costs of head-on versus codirectional collisions between the replication complex and the much slower transcription complex on the circular bacterial chromosomes are much debated. Although it is established that the number of genes on the leading strand is higher than on the lagging strand of replication, the consequences of collisions on the length of transcription units are unknown.

Results: Here, we show that transcription units are generally longer on the leading strand, in rough proportion to the bias in number of units between the two strands.