Search Results for "mis"

Background: Multiplex PCR, defined as the simultaneous amplification of multiple regions of a DNA template using more than one primer set (comprising a forward primer and a reverse primer) in one tube, has been widely used in clinical and environmental microbiology studies. However, primer design for multiplex PCR is still a challenging problem and several factors need to be considered. These problems include mis-priming due to nonspecific binding to non-target DNA templates, primer dimerization, and the inability to separate and purify DNA amplicons of similar electrophoretic mobility. Results: A new program named MPprimer was developed to help users design primer sets for multiplex PCR with high reliability. It employs the widely used primer design program Primer3 and the primer specificity evaluation program MFEprimer to design and evaluate the candidate primers based on genomic or transcript DNA database, followed by careful examination to avoid primer dimerization.

InMethyl is a Python-based application for the design of target-specific primer combinations for PCR amplification and bisulfite sequencing of complete CpG-islands. InMethyl uses bowtie high-throughoutput aligner to identify potential mis-priming sites in the bisulfite treated or intact genome and then – undesirable potential PCR products. InMethyl provides a balance between various characteristics that allows to pick up primers in hard-to-study genomic regions. This balance is based on the calculation of scoring factor including primer pair specificity, nucleotide composition (sequence complexity), thermodynamic features (melting temperature, dimers dG etc.), presence of CpG-sites and other parameters. ...

...Taking advantage of both shared-memory multi-core CPUs and distributed-memory compute clusters, PASHA has demonstrated its potential to perform high-quality de-novo assembly of large genomes in reasonable time with modest computing resources. Our evaluation using three small real paired-end datasets shows that PASHA is able to produce better assemblies with comparable genome coverage and mis-assembly rates compared to three leading assemblers: Velvet, ABySS and SOAPdenovo. Moreover, PASHA achieves the fastest speed for all three datasets on a single CPU. For the human genome, PASHA achieves competitive assembly quality with ABySS and is able to complete the assembly in about 21 hours, which is about 2.38× faster than ABySS on the same hardware configurations.