Bioinformatics as Applied to Medicine

Biotechnology ◽  
2019 ◽  
pp. 185-209
Author(s):  
Paraskevi Papadopoulou ◽  
Miltiadis Lytras ◽  
Christina Marouli

The emerging advances of Bioinformatics have already contributed toward the establishment of better next generation medicine and medical systems by putting emphasis on improvement of prognosis, diagnosis and therapy of diseases including better management of medical systems. The purpose of this chapter is to explore ways by which the use of Bioinformatics and Smart Data Analysis will provide an overview and solutions to challenges in the fields of genomics, medicine and Health Informatics. The focus of this chapter would be on Smart Data Analysis and ways needed to filter out the noise. The chapter addresses challenges researchers and data analysts are facing in terms of the developed computational methods used to extract insights from NGS and high-throughput screening data. In this chapter the concept “Wise Data” is proposed reflecting the distinction between individual health and wellness on the one hand, and social improvement, cohesion and sustainability on the other, leading to more effective medical systems, healthier individuals and more socially cohesive societies.

Author(s):  
Paraskevi Papadopoulou ◽  
Miltiadis Lytras ◽  
Christina Marouli

The emerging advances of Bioinformatics have already contributed toward the establishment of better next generation medicine and medical systems by putting emphasis on improvement of prognosis, diagnosis and therapy of diseases including better management of medical systems. The purpose of this chapter is to explore ways by which the use of Bioinformatics and Smart Data Analysis will provide an overview and solutions to challenges in the fields of genomics, medicine and Health Informatics. The focus of this chapter would be on Smart Data Analysis and ways needed to filter out the noise. The chapter addresses challenges researchers and data analysts are facing in terms of the developed computational methods used to extract insights from NGS and high-throughput screening data. In this chapter the concept “Wise Data” is proposed reflecting the distinction between individual health and wellness on the one hand, and social improvement, cohesion and sustainability on the other, leading to more effective medical systems, healthier individuals and more socially cohesive societies.


2018 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Konstantinos Ravanis

In this paper, we present the findings of a research which has two objectives: firstly, it recorded 12-13 years old (7th grade) students’ mental representation regarding the vision of non-luminous objects, and, secondly, it emphasized on the relative cognitive fields. The research was done through interviews of 107 urban area students in Greece. The students were asked to explain how objects become visible, stressing the following themes: The manner in which our eyes help us see the objects, whether natural or artificial light helps us see the objects and in what way, and if the objects emit light. The data analysis led to the recording of the students' basic mental representation on the one hand, while on the other hand emphasized the reemission or reflection of light by the luminous objects as a basic mental representation.From the research results, it can be concluded that through a teaching intervention based on mental representation we can foster and enhance scientific thinking and learning about light and vision. 


Author(s):  
Vladimir Šebek ◽  

Specialized anti-corruption institutions are not product of the new age. First specialized departments in fighting against corruption went into effect in the middle of last century, but the beginning of creation of these departments has been connected with founding of the most significant specialized institutions. Although its effects on democratic institutions and economic and social development have long been apparent, the fight against corruption has only recently been placed high on the international policy agenda. The UN Convention Against Corruption, which came into force in 2005, is the most universal in its approach; it covers a very broad range of issues including the formation of specialised bodies responsible for preventing corruption and for combating corruption through law enforcement. It is the author’s intention to present to the public the organizational solutions of the anticorruption bodies predicted in the UN Convention against Corruption and folloving standards to act effectively. On the one hand, this text represents models of specialized anti-corruption bodies in the world, and on the other hand, it contains display of institutional anti-corruption model in Republic of Serbia as well, with the focus on the Department for Corruption Suppression (OBPK) in the Ministry of Interior and special departmens of Public prosecutor's offices. In order to compare efficiency of police and prosecutorial work, a data analysis was performed for the period before and the period after the Law on organization and competence of state bodies in supression of organized crime, terrorism and corruption, entry into force.


2002 ◽  
Vol 45 (14) ◽  
pp. 3082-3093 ◽  
Author(s):  
Susan Y. Tamura ◽  
Patricia A. Bacha ◽  
Heather S. Gruver ◽  
Ruth F. Nutt

2020 ◽  
Vol 11 (4) ◽  
pp. 640-663
Author(s):  
Aseel Zibin

Abstract This study aims to examine the metaphors used to describe Syrian refugees in Jordanian politico-economic discourse, adopting a Critical Metaphor Analysis Approach for data analysis. I compiled a specialised corpus containing political and economic articles from two daily Jordanian newspapers. The data was analysed using WordSmith Tools (Scott 2012), which is compatible with Arabic data. The data analysis reveals that several metaphors are used to describe Syrian refugees in Jordanian politico-economic discourse. The majority of metaphors employed have negative connotations in the contexts in which they are used, especially in the years 2015 and 2016 compared with 2012. The metaphors used reflect the internal struggle of Jordanians in relation to whether Syrian refugees should stay or leave. The struggle stems from deeply-entrenched Arab traditions, which make receiving guests perceived as a duty on the one hand, and the economic struggle of Jordanians living in a fragile economy, on the other.


2003 ◽  
Vol 69 ◽  
pp. 91-103
Author(s):  
Petra Jongmans

A CI (Cochlear Implant) is a medical device that electrically stimulates the hearing nerve in the cochlea (inner ear). Combined with actively training the hearing, it allows Cl-patients to hear again. In my research, I approached the model underlying the training programme linguistically, to see which theories on speech perception could also apply to the speech perception of CI-patients. Specifically, I examined their speech perception on phoneme level using VC-word lists. With the goal of contributing to an effective hearing training, I have tried to answer the following questions: - which phonemes are particularly difficult for patients? - what kind of confusions are made between phonemes? Mainly based on the literature on hard-of-hearing and normally hearing people, some hypotheses and a research question were formulated. Data-analysis was used to further investigate these hypotheses. A number of significant differences in difficulty were found between different phoneme categories, as well as patterns in the confusion of phonemes. It was found, for example, that long vowels are easier to perceive than short vowels and that for consonants a division can be made between plosives and fricatives on the one hand and nasals and approximants on the other, the latter group causing more problems. The research results are now being used for training CI-patients in Leiden.


2007 ◽  
Vol 12 (2) ◽  
pp. 229-234 ◽  
Author(s):  
Yunxia Sui ◽  
Zhijin Wu

High-throughput screening is an essential process in drug discovery. The ability to identify true active compounds depends on the high quality of assays and proper analysis of data. The Z factor, presented by Zhang et al. in 1999, provides an easy and useful summary of assay quality and has been a widely accepted standard. However, as data analysis has undergone much improvement recently, the assessment of assay quality has not evolved in parallel. In this article, the authors study the implications of Z factor values under different conditions and link the Z factor with the power of discovering true active compounds. They discuss the different interpretations of Z factor depending on error distributions and advocate direct analysis of power as assay quality assessment. They also propose that in estimating assay quality parameters, adjustments in data analysis should be taken into account. Studying the power of identifying true “hits” gives a more direct interpretation of assay quality and may provide guidance in assay optimization on some occasions.


2004 ◽  
Vol 48 (3) ◽  
pp. 897-902 ◽  
Author(s):  
Thérèse Stachyra ◽  
Christophe Dini ◽  
Paul Ferrari ◽  
Ahmed Bouhss ◽  
Jean van Heijenoort ◽  
...  

ABSTRACT We have developed a novel assay specific to MraY, which catalyzes the first membrane step in the biosynthesis of bacterial cell wall peptidoglycan. This was accomplished by using UDP-MurNAc-Nε -dansylpentapeptide, a fluorescent derivative of the MraY nucleotide substrate, and a partially purified preparation of MraY solubilized from membranes of an Escherichia coli overproducing strain. Two versions of the assay were developed, one consisting of the high-pressure liquid chromatography separation of the substrate and product (dansylated lipid I) and the other, without separation and adapted to the high-throughput format, taking advantage of the different fluorescence properties of the nucleotide and lipid I in the reaction medium. The latter assay was validated with a set of natural and synthetic MraY inhibitors.


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