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	<title>Bioinformatics Jobs Computational Biology Genomics</title>
	<link>http://bioinformaticsdirectory.com</link>
	<description>Bioinformatics Jobs  Computational Biology Genomics</description>
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		<title>PRIMe: a method for characterization and evaluation of pleiotropic regions from multiple genome-wide association studies</title>
		<description><![CDATA[Motivation: The concept of pleiotropy was proposed a century ago, though up to now there have been insufficient efforts to design robust statistics and software aimed at visualizing and evaluating pleiotropy at a regional level. The Pleiotropic Region Identification Method (PRIMe) was developed to evaluate potentially pleiotropic loci based upon data from multiple genome-wide association [...]]]></description>
		<link>http://bioinformaticsdirectory.com/5306/prime-a-method-for-characterization-and-evaluation-of-pleiotropic-regions-from-multiple-genome-wide-association-studies/</link>
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		<title>aCGH.Spline&#8211;an R package for aCGH dye bias normalization</title>
		<description><![CDATA[Motivation: The careful normalization of array-based comparative genomic hybridization (aCGH) data is of critical importance for the accurate detection of copy number changes. The difference in labelling affinity between the two fluorophores used in aCGH&#8212;usually Cy5 and Cy3&#8212;can be observed as a bias within the intensity distributions. If left unchecked, this bias is likely to [...]]]></description>
		<link>http://bioinformaticsdirectory.com/5305/acgh-spline-an-r-package-for-acgh-dye-bias-normalization/</link>
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		<title>Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software</title>
		<description><![CDATA[Summary: There is a strong and growing need in the biology research community for accurate, automated image analysis. Here, we describe CellProfiler 2.0, which has been engineered to meet the needs of its growing user base. It is more robust and user friendly, with new algorithms and features to facilitate high-throughput work. ImageJ plugins can [...]]]></description>
		<link>http://bioinformaticsdirectory.com/5303/improved-structure-function-and-compatibility-for-cellprofiler-modular-high-throughput-image-analysis-software/</link>
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		<title>Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications (Wiley Series in Bioinformatics)</title>
		<description><![CDATA[Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications (Wiley Series in Bioinformatics) This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being [...]]]></description>
		<link>http://bioinformaticsdirectory.com/5301/algorithms-in-computational-molecular-biology-techniques-approaches-and-applications-wiley-series-in-bioinformatics/</link>
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		<title>BiC: a web server for calculating bimodality of coexpression between gene and protein networks</title>
		<description><![CDATA[Summary: Bimodal patterns of expression have recently been shown to be useful not only in prioritizing genes that distinguish phenotypes, but also in prioritizing network models that correlate with proteomic evidence. In particular, subgroups of strongly coexpressed gene pairs result in an increased variance of the correlation distribution. This variance, a measure of association between [...]]]></description>
		<link>http://bioinformaticsdirectory.com/5299/bic-a-web-server-for-calculating-bimodality-of-coexpression-between-gene-and-protein-networks/</link>
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		<title>SiGN-SSM: open source parallel software for estimating gene networks with state space models</title>
		<description><![CDATA[Summary: SiGN-SSM is an open-source gene network estimation software able to run in parallel on PCs and massively parallel supercomputers. The software estimates a state space model (SSM), that is a statistical dynamic model suitable for analyzing short time and/or replicated time series gene expression profiles. SiGN-SSM implements a novel parameter constraint effective to stabilize [...]]]></description>
		<link>http://bioinformaticsdirectory.com/5298/sign-ssm-open-source-parallel-software-for-estimating-gene-networks-with-state-space-models/</link>
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		<title>Algorithms in Bioinformatics: A Practical Introduction (Chapman &amp; Hall/CRC Mathematical &amp; Computational Biology)</title>
		<description><![CDATA[Algorithms in Bioinformatics: A Practical Introduction (Chapman &#038; Hall/CRC Mathematical &#038; Computational Biology) Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic Solutions Developed from the author’s own teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the [...]]]></description>
		<link>http://bioinformaticsdirectory.com/5297/algorithms-in-bioinformatics-a-practical-introduction-chapman-hallcrc-mathematical-computational-biology/</link>
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		<title>STOCHSIMGPU: parallel stochastic simulation for the Systems Biology Toolbox 2 for MATLAB</title>
		<description><![CDATA[Motivation: The importance of stochasticity in biological systems is becoming increasingly recognized and the computational cost of biologically realistic stochastic simulations urgently requires development of efficient software. We present a new software tool STOCHSIMGPU that exploits graphics processing units (GPUs) for parallel stochastic simulations of biological/chemical reaction systems and show that significant gains in efficiency [...]]]></description>
		<link>http://bioinformaticsdirectory.com/5295/stochsimgpu-parallel-stochastic-simulation-for-the-systems-biology-toolbox-2-for-matlab/</link>
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		<title>SurvJamda: an R package to predict patients&#8217; survival and risk assessment using joint analysis of microarray gene expression data</title>
		<description><![CDATA[Summary: SurvJamda (Survival prediction by joint analysis of microarray data) is an R package that utilizes joint analysis of microarray gene expression data to predict patients&#8217; survival and risk assessment. Joint analysis can be performed by merging datasets or meta-analysis to increase the sample size and to improve survival prognosis. The prognosis performance derived from [...]]]></description>
		<link>http://bioinformaticsdirectory.com/5294/survjamda-an-r-package-to-predict-patients-survival-and-risk-assessment-using-joint-analysis-of-microarray-gene-expression-data/</link>
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		<title>Bioinformatics: An Introduction (Computational Biology)</title>
		<description><![CDATA[Bioinformatics: An Introduction (Computational Biology) Bioinformatics is interpreted as the application of information science to biology, in which it plays a fundamental and all-pervasive role. The field continues to develop intensively in both academia and commercially, and is highly interdisciplinary. This broad-ranging and thoroughly updated second edition covers new findings while retaining the successful formula [...]]]></description>
		<link>http://bioinformaticsdirectory.com/5247/bioinformatics-an-introduction-computational-biology/</link>
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