185 research outputs found

    Sustainability Evaluation of Resident Building in Bosnia and Herzegovina

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    The energy system of resident building requires to be seen as the complex system with defined respective indicators including: economic, environmental and social indicators with respective sub-indicators. In our analysis, we will assumed that the energy system is a complex system which may interact with its surrounding by utilizing resources, exchange conversion system products, utilize economic benefits from conversion process and absorb the social consequences of conversion process. This evaluation will be based on the selection of a number of resident buildings as the potential options appropriate for the geographic, climate and cultural region. With multi-criteria method based on the selected number of indicators the sustainability index will be determined. In this evaluation attention is focused on the following resident buildings: Bosnian family house, Modern architecture dwelling, Traditional family house, Best choice of local family house. The finale result of this study will be presented in Sustainability Index rating for the options under consideration. It can be noticed that the quality of the selected objects is defined in relation to the Sustainability Index

    Dynamics of mitochondrial heteroplasmy in three families investigated via a repeatable re-sequencing study

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    Background: Originally believed to be a rare phenomenon, heteroplasmy - the presence of more than one mitochondrial DNA (mtDNA) variant within a cell, tissue, or individual - is emerging as an important component of eukaryotic genetic diversity. Heteroplasmies can be used as genetic markers in applications ranging from forensics to cancer diagnostics. Yet the frequency of heteroplasmic alleles may vary from generation to generation due to the bottleneck occurring during oogenesis. Therefore, to understand the alterations in allele frequencies at heteroplasmic sites, it is of critical importance to investigate the dynamics of maternal mtDNA transmission. Results: Here we sequenced, at high coverage, mtDNA from blood and buccal tissues of nine individuals from three families with a total of six maternal transmission events. Using simulations and re-sequencing of clonal DNA, we devised a set of criteria for detecting polymorphic sites in heterogeneous genetic samples that is resistant to the noise originating from massively parallel sequencing technologies. Application of these criteria to nine human mtDNA samples revealed four heteroplasmic sites. Conclusions: Our results suggest that the incidence of heteroplasmy may be lower than estimated in some other recent re-sequencing studies, and that mtDNA allelic frequencies differ significantly both between tissues of the same individual and between a mother and her offspring. We designed our study in such a way that the complete analysis described here can be repeated by anyone either at our site or directly on the Amazon Cloud. Our computational pipeline can be easily modified to accommodate other applications, such as viral re-sequencing

    CGAT-core: a python framework for building scalable, reproducible computational biology workflows

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    In the genomics era computational biologists regularly need to process, analyse and integrate large and complex biomedical datasets. Analysis inevitably involves multiple dependent steps, resulting in complex pipelines or workflows, often with several branches. Large data volumes mean that processing needs to be quick and efficient and scientific rigour requires that analysis be consistent and fully reproducible. We have developed CGAT-core, a python package for the rapid construction of complex computational workflows. CGAT-core seamlessly handles parallelisation across high performance computing clusters, integration of Conda environments, full parameterisation, database integration and logging. To illustrate our workflow framework, we present a pipeline for the analysis of RNAseq data using pseudo-alignment
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