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Tampere, Finland

The University of Tampere is a university in Tampere, Finland. It has 15,400 degree students and 2,100 employees. It was originally founded in 1925 in Helsinki as a "Civic College" , and from 1930 onwards it was known as a "School of Social science" . In 1960, the institution relocated to Tampere, and in 1966 it was officially named University of Tampere. Wikipedia.


Udd B.,University of Tampere | Krahe R.,University of Houston
The Lancet Neurology | Year: 2012

Myotonic dystrophy is the most common type of muscular dystrophy in adults and is characterised by progressive myopathy, myotonia, and multiorgan involvement. Two genetically distinct entities have been identified. Myotonic dystrophy type 1 (also known as Steinert's disease) was first described more than 100 years ago, whereas myotonic dystrophy type 2 was identified only 18 years ago, after genetic testing for type 1 disease could be applied. Both diseases are caused by autosomal dominant nucleotide repeat expansions. In patients with myotonic dystrophy type 1, a (CTG)n expansion is present in DMPK, whereas in patients with type 2 disease, there is a (CCTG)n expansion in CNBP. When transcribed into CUG-containing RNA, mutant transcripts aggregate as nuclear foci that sequester RNA-binding proteins, resulting in a spliceopathy of downstream effector genes. The prevailing paradigm therefore is that both disorders are toxic RNA diseases. However, research indicates several additional pathogenic effects take place with respect to protein translation and turnover. Despite clinical and genetic similarities, myotonic dystrophy type 1 and type 2 are distinct disorders requiring different diagnostic and management strategies. © 2012 Elsevier Ltd. Source


Prediction methods are increasingly used in biosciences to forecast diverse features and characteristics. Binary two-state classifiers are the most common applications. They are usually based on machine learning approaches. For the end user it is often problematic to evaluate the true performance and applicability of computational tools as some knowledge about computer science and statistics would be needed. Instructions are given on how to interpret and compare method evaluation results. For systematic method performance analysis is needed established benchmark datasets which contain cases with known outcome, and suitable evaluation measures. The criteria for benchmark datasets are discussed along with their implementation in VariBench, benchmark database for variations. There is no single measure that alone could describe all the aspects of method performance. Predictions of genetic variation effects on DNA, RNA and protein level are important as information about variants can be produced much faster than their disease relevance can be experimentally verified. Therefore numerous prediction tools have been developed, however, systematic analyses of their performance and comparison have just started to emerge. The end users of prediction tools should be able to understand how evaluation is done and how to interpret the results. Six main performance evaluation measures are introduced. These include sensitivity, specificity, positive predictive value, negative predictive value, accuracy and Matthews correlation coefficient. Together with receiver operating characteristics (ROC) analysis they provide a good picture about the performance of methods and allow their objective and quantitative comparison. A checklist of items to look at is provided. Comparisons of methods for missense variant tolerance, protein stability changes due to amino acid substitutions, and effects of variations on mRNA splicing are presented. Source


Vihinen M.,Lund University | Vihinen M.,University of Tampere
Genome Research | Year: 2014

Ontology organizes and formally conceptualizes information in a knowledge domain with a controlled vocabulary having defined terms and relationships between them. Several ontologies have been used to annotate numerous databases in biology and medicine. Due to their unambiguous nature, ontological annotations facilitate systematic description and data organization, data integration and mining, and pattern recognition and statistics, as well as development of analysis and prediction tools. The Variation Ontology (VariO) was developed to allow the annotation of effects, consequences, and mechanisms of DNA, RNA, and protein variations. Variation types are systematically organized, and a detailed description of effects and mechanisms is possible. VariO is for annotating the variant, not the normal-state features or properties, and requires a reference (e.g., reference sequence, reference-state property, activity, etc.) compared to which the changes are indicated. VariO is versatile and can be used for variations ranging from genomic multiplications to single nucleotide or amino acid changes, whether of genetic or nongenetic origin. VariO annotations are position-specific and can be used for variations in any organism. © 2014 Hansen et al. Source


Patent
University of Tampere and Fukoku Co. | Date: 2015-07-08

One embodiment of the present invention provides a haptic device including a flexible and deformable tube, a liquid or gel-like substance, a sensor and an actuator. The flexible and deformable tube is affixed to a grip area to be gripped by a user. The liquid or gel-like substance is sealed within the tube and configured to transmit a pressure or/and pressure vibration vibration/pressure therethrough. The sensor is configured to detect the pressure or/and pressure vibration vibration/pressure generated in the tube. The actuator is configured to generate a haptic signal in the tube and/or the substance so as to be transmitted to the user.


Patent
University of Tampere and Fukoku Co. | Date: 2015-07-08

One embodiment of the present invention provides a haptic device to be overlaid on a manipulation face for receiving a manipulation from a user. The haptic device includes a pouch, a liquid or gel-like substance and an actuator. The pouch is formed from the manipulation face and a transparent sheet overlaid thereon with a gap. The liquid or gel-like substance is sealed within the pouch and configured to transmit a pressure or/and pressure vibration therethrough. The actuator is configured to generate a haptic signal in the transparent sheet and/or the substance so as to be transmitted to the user.

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