Search Results for "account"

The Differential Evolution, introduced in 1995 by Storn and Price, considers the population, that is divided into branches, one per computational node. The Differential Evolution Entirely Parallel method takes into account the individual age, that is defined as the number of iterations the individual survived without changes. The introduced improvements are: (I) allow several oldest individuals to be overwritten by the same number of best ones in the population, (II) new selection rule uses several objective functions in offspring evaluation. RPMs are available at https://build.opensuse.org/project/repositories/home:mackoel:compbio This work is supported by RNF Grant 14-14-00302 and by “5-100-2020” Program of the Russian Ministry of Education and Science. ...

Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction.

...We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines protein-protein interaction networks and domain-domain interaction networks with the cluster-quality metric cohesiveness. The metric is locally maximized on the holistic level of protein interactions while sophisticated connectivity constraints on the domain level are utilized to account for the exclusive and thus inherently combinatorial nature of the interactions within such assemblies. The original publication can be found on http://bioinformatics.oxfordjournals.org/content/30/17/i415 .

...Taxoblast splits genomic scaffolds into sub-sequences of defined length and for each of them determines the closest related taxon. It then summarizes this information for the entire scaffold, taking into account the taxonomic ontology. Scaffolds that exclusively match potential contaminants may be safely removed while sequences matching partially contaminants and partially the target organism may constitute horizontal transfers or assembly artifacts and need to be examined manually.

...fitGCP is a framework for fitting mixtures of probability distributions to genome coverage profiles. Besides commonly used distributions, fitGCP uses distributions tailored to account for common artifacts. The mixture models are iteratively fitted based on the Expectation-Maximization algorithm. Please find the accompanying paper here: http://dx.doi.org/10.1093/bioinformatics/btt147

MethylExtract is a user friendly tool to generate i) high quality, whole genome methylation maps and ii) to detect sequence variation within the same sample preparation. The program is implemented into a single script and takes into account all major error sources: sequencing errors, bisulfite failure, clonal reads and single nucleotide variants. MethylExtract detects variation (SNVs – Single Nucleotide Variation) in a similar way than VarScan, a very sensitive method extensively used in SNP and genotype calling based on non-bisulfite treated reads.

This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 (

ZORRO is a probabilistic masking program that assigns confidence scores to each column in a multiple seqeunce alignment. These scores can then be used to account for alignment accuracy in phylogenetic inference pipelines.

LocalMotif is a bioinformatics tool for discovering nucleotide motifs in a set of gene regulatory sequences. It takes into account the positional distribution of the motifs relative to a biological landmark. Look out for an updated version in May.