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By Julio Saez-Rodriguez, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz Santana

Biological and biomedical examine are more and more pushed by means of experimental recommendations that problem our skill to examine, procedure and extract significant wisdom from the underlying information. The amazing features of subsequent new release sequencing applied sciences, including novel and ever evolving precise sorts of omics facts applied sciences, have positioned an more and more complicated set of demanding situations for the growing to be fields of Bioinformatics and Computational Biology. The research of the datasets produced and their integration demand new algorithms and ways from fields equivalent to Databases, records, information Mining, computer studying, Optimization, machine technology and synthetic Intelligence. truly, Biology is progressively more a technological know-how of data requiring instruments from the computational sciences. within the previous couple of years, we've seen the surge of a brand new iteration of interdisciplinary scientists that experience a powerful historical past within the organic and computational sciences. during this context, the interplay of researchers from various medical fields is, greater than ever, of optimal value boosting the study efforts within the box and contributing to the schooling of a brand new new release of Bioinformatics scientists. PACBB‘14 contributes to this attempt selling this fruitful interplay. PACBB'14 technical software integrated 34 papers spanning many various sub-fields in Bioinformatics and Computational Biology. for this reason, the convention promotes the interplay of scientists from varied learn teams and with a special historical past corresponding to computing device scientists, mathematicians or biologists.

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Extra resources for 8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014)

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Thus, computational recognition of miRNAs from genomic sequences supplies a useful complement to cloning. Different approaches J. S´ aez-Rodr´ıguez et al. ), 8th International Conference on Practical Appl. of Comput. Biol. & Bioinform. M. ElGokhy, T. Shibuya, and A. Shoukry for recognition of miRNAs have been proposed based on homology, thermodynamic features, and cross-species comparisons. MiRNA recognition problem is defined over precursor miRNAs (pre-miRNAs) rather than mature miRNAs. The features that are used in the recognition process are extracted from the hairpin stem loop secondary structure of pre-miRNA sequences.

Retinal microvascular abnormalities and risk of lacunar stroke: Atherosclerosis Risk in Communities Study. Stroke 41, 1349–1355 (2010) Improving miRNA Classification Using an Exhaustive Set of Features Sherin M. jp Abstract. MicroRNAs (miRNAs) are short (∼22 nucleotides), endogenously-initiated non-coding RNAs that control gene expression post transcriptionally, either by the degradation of target miRNAs or by the inhibition of protein translation. The prediction of miRNA genes is a challenging problem towards the understanding of post transcriptional gene regulation.

Ii) The detection of the fovea, habitually chosen as the position of maximum correlation between a model template and the intensity image [19]. (iii) The segmentation of the vasculature form retinal images, that is, the representation of the blood vessels and their connections by segments or similar structures. There are many techniques to accomplish this, the most significant of which are: (i) matched filters, which typically have a Gaussian or a Gaussian derivative profile [3] [13] [20] [14]; (ii) vessel tracking, whereby vessel center locations are automatically sought over each cross-section of a vessel along the vessels longitudinal axis, having been given a starting and end point [28]; (iii) neural networks, which employ mathematical ‘‘weights’’ to decide the probability of input data belonging to a particular output [1]; and (iv) morphological processing, which uses characteristics of the vasculature shape that are known a priori, such as being piecewise linear and connected [12].

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