Computational Biology
CGAT-core: a python framework for building scalable, reproducible computational biology workflows
... in computational biology, is that individual steps can use arbitrary python code, both in how they are linked together and in the actual processing ...
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A primer on learning in Bayesian networks for computational biology
... in computational biology have taken advantage of BNs or, more generally, probabilistic graphical ...systems biology; gene expression analysis, biological data integration; protein– protein ...
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Developing computational biology at meridian 23° E, and a little eastwards
... First, we have realized that there is a really high demand for research training and scientific exploration everywhere, and at all levels—i.e. undergraduate, gradu- ate, doctoral and post-doctoral training and research ...
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A practical guide to methods controlling false discoveries in computational biology
... Background: In high-throughput studies, hundreds to millions of hypotheses are typically tested. Statistical methods that control the false discovery rate (FDR) have emerged as popular and powerful tools for error rate ...
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Ten quick tips for machine learning in computational biology
... in computational biology include k-means clustering [22], truncated singular value decomposition (SVD) [23], and probabilistic latent semantic analysis (pLSA) ...
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Planning Computational Biology Projects Using Agile Approach
... Recent advancement in the biological sciences field led to an increase in the development of large biological software research projects. These projects are complex and interconnected and have proven to be hard to ...
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Computational biology of cardiac myocytes: proposed standards for the physiome
... Typically, as our knowledge and understanding of biological processes grows, models of increasing detail and comprehensiveness have been developed, often by piecing together existing model components, in order to ...
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MORT: a powerful foundational library for computational biology and CADD
... A C++ based library MORT is developed as a new foun- dation library for computational biology and CADD. This new library has many advantages, especially for its data structure and powerful functions. By ...
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Computational Biology of Ras Proteins
... For consistent numbering, sites are numbered using the Ras family standard (Valencia et al. 3) Known proteins have evidence for their family membership in the Uniprot database (Bairoch [r] ...
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Feature Selection in Computational Biology
... We present a family of two-stage techniques for kernel machines. The first stage of these techniques is a feature selection method in order to reduce the number of variables while the second stage is fitting a kernel ...
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Probability approximations with applications in computational finance and computational biology
... Theorem 1 follows from a CLT for strong mixing sequences. The calculation needed for the conditional means, variances and covariance, although tedious, is mostly straight- forward. However, the argument required for ...
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PRLR is a Target of Oncogenic miR 204 in Low Grade Glioma and Involved in a ceRNA Network by Computational Biology
... [8] K. Tomczak, P. Czerwinska, and M. Wiznerowicz, The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge, Contemp Oncol (Pozn), vol. 19, no. 1A, pp. A68-77, 2015. [9] O. Nikolayeva and M. D. Robinson, edgeR ...
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Computational Biology Methods and Their Application to the Comparative Genomics of Endocellular Symbiotic Bacteria of Insects
... Mutations in nuclear genes involved in mtDNA maintenance Accelerated ageing with symptoms Mutator mice: mutation in POLG including mitochondrial dysfunction, apoptosis, skeletal muscle l[r] ...
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COMPUTATIONAL BIOLOGY AND GENE INTERPRETATION OF PSORIATIC ARTHRITIS THROUGH IN SILICO ANALYSIS
... The Drug association analysis of WebGestalt has reported 17 drugs interacted with 33 genes or its corresponding proteins out of which docking was performed for 17 drugs and 33 potential [r] ...
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Opportunities for computational biology uses in enhancement of bioproduct quality: Lessons from olive oil
... synthetic biology represents an innovative concept for learning about and via biomolecules and data, with appliances in fundamental sciences, agriculture and ...synthetic biology and metabolic engineering ...
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Identification of potential synthetic lethal genes to p53 using a computational biology approach
... A wealth of studies have established that about half of human cancer cases harbor p53 mutations, about 80% of which are missense mutations [71]. Therefore, cancer therapeutic strategies that focus on cells harboring p53 ...
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Computational Biology Methods and Their Application to the Comparative Genomics of Endocellular Symbiotic Bacteria of Insects
... the number of completed genomes will be in the order of double that by the end of 2009 with a considerable percentage of these al- ready published in the literature. Already the Entrez Genome proj- ect website controlled ...
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Malware Detection using Computational Biology Tools
... Ali Alatabbi got his B.Sc. in Electrical Engineering (Computer and Control), Department of Electrical Engineering, College of Engineering, University of Basra, Basra, Iraq-1994, M.Sc. E-Commerce Engineering, Westminster ...
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High-performance computing for computational biology of the heart
... Models of the heart are comprised of several, modular components: models of cellular electrophysiology; a tissue model that describes the interconnection of those cells and the manner in[r] ...
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Algorithmic Aspects of Some Problems in Computational Biology
... Chapter 3 Alam, M. S. and Mukhopadhyay, A. (2010) A new algorithm and improved lower bound for point placement on a line in two rounds. In Proceedings of the 22nd Canadian Conference on Computational Geometry, ...
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