A number of studies have been conducted to investigate the predictive value of common genetic variants for complex diseases. To date, these studies have generally shown that common variants have no appreciable added predictive value over classical risk factors. New sequencing technology has enhanced the ability to identify rare variants that may have larger functional effects than common varian...

background and objectives: annexin is the common name for genes and proteins that were identified as calcium-dependent phospholipid-binding proteins. recently a more complex set of functions has been recognized for this superfamily of proteins including in vesicle trafficking, cell division, apoptosis, calcium signalling, mineralization, crystal nucleation inside the extracellular organelles-ma...

background: previous studies have shown that leukemogenic chromosomal translocations, including fusions between break point cluster region (bcr) and abelson (abl) are present in the peripheral blood of healthy individuals. the aim of this study was to gain insights into the genetic alterations other than bcr-abl translocation in molecular level, which cause chronic myeloid leukemia (cml). metho...

Traditional research on machine scheduling focuses on job allocation and sequencing to optimize certain objective functions that are defined in job completion times. With regard to environmental concerns, energy consumption becomes another critical concern in high-performance systems. In this paper, we address the scheduling problem in a multiple machine system where the computing speeds of the...

High-throughput sequencing of the taxonomically informative 16S rRNA gene provides a powerful approach for exploring microbial diversity. Here we compare the performances of two common "benchtop" sequencing platforms, Illumina MiSeq and Ion Torrent Personal Genome Machine (PGM), for bacterial community profiling by 16S rRNA (V1-V2) amplicon sequencing. We benchmarked performance by using a 20-o...

The Ion Torrent Personal Genome Machine (PGM) is a new sequencing platform that substantially differs from other sequencing technologies by measuring pH rather than light to detect polymerisation events. Using re-sequencing datasets, we comprehensively characterise the biases and errors introduced by the PGM at both the base and flow level, across a combination of factors, including chip densit...