Åbo Akademi University

About: Åbo Akademi University is a education organization based out in Turku, Finland. It is known for research contribution in the topics: Catalysis & Population. The organization has 5156 authors who have published 13979 publications receiving 391566 citations. The organization is also known as: Åbo Akademi & ÅAU.

A survey of best practices for RNA-seq data analysis

Abstract: RNA-sequencing (RNA-seq) has a wide variety of applications, but no single analysis pipeline can be used in all cases. We review all of the major steps in RNA-seq data analysis, including experimental design, quality control, read alignment, quantification of gene and transcript levels, visualization, differential gene expression, alternative splicing, functional analysis, gene fusion detection and eQTL mapping. We highlight the challenges associated with each step. We discuss the analysis of small RNAs and the integration of RNA-seq with other functional genomics techniques. Finally, we discuss the outlook for novel technologies that are changing the state of the art in transcriptomics.

Bullying as a group process: Participant roles and their relations to social status within the group

Abstract: Bullying was investigated as a group process, asocial phenomenon taking place in a school setting among 573 Finnish sixth-grade children (286 girls, 287 boys) aged 12-13 years. Different Participant Roles taken by individual children in the bullying process were examined and related to a) self-estimated behavior in bullying situations, b) social acceptance and social rejection, and c) belongingness to one of the five sociometric status groups (popular, rejected, neglected, controversial, and average). The Participant Roles assigned to the subjects were Victim, Bully, Reinforcer of the bully, Assistant of the bully, Defender of the victim, and Outsider. There were significant sex differences in the distribution of Participant Roles. Boys were more frequently in the roles of Bully, Reinforcer and Assistant, while the most frequent roles of the girls were those of Defender and Outsider. The subjects were moderately well aware of their Participant Roles, although they underestimated their participation in active bullying behavior and emphasized that they acted as Defenders and Outsiders. The sociometric status of the children was found to be connected to their Participant Roles..

Do Girls Manipulate and Boys Fight? Developmental Trends in Regard to Direct and Indirect Aggression

Abstract: Gender differences in regard to aggressive behaviour were investigated in a series of studies of schoolchildren of different age cohorts: 8-year-olds (N = 85), 11-year-olds (N = 167), and 15-year-olds (N = 127). Different types of aggressive behaviour were measured with peer nomination techniques, supported by self-ratings. The social structure of the peer groups were also studied. The results of the 11-year-old cohort were previously presented by Lagerspetz et al. [1988; Aggressive Behavior 14:403-4141, but they are compared here with the other age groups. The principal finding was that girls of the two older cohorts overall make greater use of indirect means of aggression, whereas boys tend to employ direct means. Previously, the main difference between the genders has been thought to be that boys use physical aggressive strategies, while girls prefer verbal ones. Our studies suggest that the differentiation between direct and indirect strategies of aggression presents a more exact picture. Indirect aggressive strategies were not yet fully developed among the 8-year-old girls, but they were already prominent among the 11-year-old girls. Aggressive behaviour was assessed overall by the children themselves to be the highest in this age group.

Past, present, and future of decision support technology

Abstract: Since the early 1970s, decision support systems (DSS) technology and applications have evolved significantly. Many technological and organizational developments have exerted an impact on this evolution. DSS once utilized more limited database, modeling, and user interface functionality, but technological innovations have enabled far more powerful DSS functionality. DSS once supported individual decision-makers, but later DSS technologies were applied to workgroups or teams, especially virtual teams. The advent of the Web has enabled inter-organizational decision support systems, and has given rise to numerous new applications of existing technology as well as many new decision support technologies themselves. It seems likely that mobile tools, mobile e-services, and wireless Internet protocols will mark the next major set of developments in DSS. This paper discusses the evolution of DSS technologies and issues related to DSS definition, application, and impact. It then presents four powerful decision support tools, including data warehouses, OLAP, data mining, and Web-based DSS. Issues in the field of collaborative support systems and virtual teams are presented. This paper also describes the state of the art of optimization-based decision support and active decision support for the next millennium. Finally, some implications for the future of the field are discussed.

Human gut microbes impact host serum metabolome and insulin sensitivity

Abstract: Insulin resistance is a forerunner state of ischaemic cardiovascular disease and type 2 diabetes. Here we show how the human gut microbiome impacts the serum metabolome and associates with insulin resistance in 277 non-diabetic Danish individuals. The serum metabolome of insulin-resistant individuals is characterized by increased levels of branched-chain amino acids (BCAAs), which correlate with a gut microbiome that has an enriched biosynthetic potential for BCAAs and is deprived of genes encoding bacterial inward transporters for these amino acids. Prevotella copri and Bacteroides vulgatus are identified as the main species driving the association between biosynthesis of BCAAs and insulin resistance, and in mice we demonstrate that P. copri can induce insulin resistance, aggravate glucose intolerance and augment circulating levels of BCAAs. Our findings suggest that microbial targets may have the potential to diminish insulin resistance and reduce the incidence of common metabolic and cardiovascular disorders.