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A BIOGAS PRODUCTION UNIT FOR USE IN RURAL AREAS

Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS AND ENVIRONMENTAL ENGINEERING
Author(s): AGBETOYE , L.A.S

Abstract: A biogas production unit was designed, fabricated and tested. It consists of a 168-litres anaerobic digester and a 38-litres gas storage tank connected together with 19 mm PVC pipes and locks. The digester and the separator tanks were fabricated from a high torsional strength 20 mm x 20 mm x 4 mm mild steel sheet supported by 60 mm x 60 mm x 4 mm angle iron welded together. Filler paste was applied to the two tanks for air tightness. The digester has a 900 mm shaft with blades attached that stirs the substrate. The machine is powered by a 0.75 kW electric motor connected to the side of the digester tank. A rubber seal was attached to the top of the stirrer to prevent the escape of gas from the tank. A pressure gauge and a gas connecting hose were attached for the measurement of the amount of gas produced, stored and released to the cooker respectively. Air and water tightness tests were carried out to avoid unnecessary leakage at any point. Plant and animal wastes were utilized as feed

  • Publication Date: 19-Apr-2015
  • DOI: 10.15224/978-1-63248-043-9-128
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SNVDMIR: ASSOCIATING THE GENOMIC PROXIMITY OF GENETIC VARIANTS WITH DEREGULATED MIRNAS AND DIFFERENTIALLY METHYLATED REGIONS

Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN BIO-INFORMATICS AND ENVIRONMENTAL ENGINEERING
Author(s): HAMED M , HELMS V , ZAPP A

Abstract: Although next generation sequencing of diseased traits has unraveled thousands of DNA alterations, the functional relevance of most of these mutations and how they relate to other epigenetic mechanisms are still poorly understood. Here, we present SnvDMiR as a freely–available R pipeline that conducts combinatorial proximity analysis between disease– associated SNVs, deregulated miRNAs, and differentially methylated regions (DMRs) to identify genomically adjacent SNV-miRNA pairs as well as SNV-DMR pairs. These variants could be further investigated as putative candidates for driving pathogenic processes in diseases. We demonstrated the usefulness of the SnvDMiR pipeline by applying it on a published set of breast cancer-related mutations, deregulated miRNAs, and DMRs. Our pipeline characterized potential driver mutations that are predicted to have damaging effects on related protein functions. Availability: http://gepard.bioinformatik.unisaarland. de/software

  • Publication Date: 19-Apr-2015
  • DOI: 10.15224/978-1-63248-043-9-127
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