Genome-wide identification of the regulatory targets of a transcription factor using biochemical characterization and computational genomic analysis

BACKGROUND: A major challenge in computational genomics is the development of methodologies that allow accurate genome-wide prediction of the regulatory targets of a transcription factor. We present a method for target identification that combines experimental characterization of binding requirements with computational genomic analysis. RESULTS: Our method identified potential target genes of the transcription factor Ndt80, a key transcriptional regulator involved in yeast sporulation, using the combined information of binding affinity, positional distribution, and conservation of the binding sites across multiple species. We have also developed a mathematical approach to compute the false positive rate and the total number of targets in the genome based on the multiple selection criteria. CONCLUSION: We have shown that combining biochemical characterization and computational genomic analysis leads to accurate identification of the genome-wide targets of a transcription factor. The method can be extended to other transcription factors and can complement other genomic approaches to transcriptional regulation

A LOW-COST METHOD FOR REAL-TIME EVALUATION OF MEDIAN FREQUENCY DURING CYCLIC CONTRACTIONS

The appropriate exercise intensity can be used to improve physical strength as well as to prevent musculoskeletal injuries, and scientific analysis can evaluate the effectiveness of resistance training. The goal of the study was to test a low-cost method for real-time evaluation of median frequency (MDF) during cyclic contractions. Surface electromyography (sEMG) is an objective, non-invasive and pain-free method for assessing and monitoring muscle fatigue in humans performing resistance exercise. In the study, we provided a low-cost method for real-time evaluation of MDF during cyclic contractions. For a well designed program that controls the accumulation of fatigue, local muscle fatigue must be quantified

Ribbon: Visualizing complex genome alignments and structural variation

To the Editor Visualization has played an extremely important role in the current genomic revolution to inspect and understand variants, expression patterns, evolutionary changes, and a number of other relationships 1–3 . However, most of the information in read-to-reference or genome-genome alignments is lost for structural variations in the one-dimensional views of most genome browsers showing only reference coordinates. Instead, structural variations captured by long reads or assembled contigs often need more context to understand, including alignments and other genomic information from multiple chromosomes

THE ACUTE EFFECT OF WHOLE BODY VIBRATION TRAINING ON AGILITY, SPEED AND POWER IN MALE VOLLEYBALL PLAYERS

The purpose of this study was to examine the acute effect of whole body vibration training on agility, speed and power in male volleyball players. Ten college volleyball players volunteered to participate in this study. The vibration training (VT) consisted of 60% with 28 Hz frequencies and 1Omm amplitudes. Counter movement jump (CMJ), blocking agility test (BAT), agility test (AT) and 10 meters sprinting (1 OMS) were performed at pre-test and post-test (60s rest). The peak force (PF). mean force (MF), maximum rate of force development (mRFD) and relative net impulse (RNI) from the CMJs were computed. A repeated measures ANOVA was applied to obtain the variables. The present study indicated that the WBV significantly improves the MF, mRFD and BAT parameters of CMJ and BAT performances excluding the PF. Speed and agility does not seem to be enhanced by VT