Project description:Membrane bioreactor (MBR) systems are typically known different from conventional activated sludge (CAS) systems in operational parameters, while current knowledge of their microbial differentiations is barely sufficient. To this end, the current study was launched to address the differences of the overall functional genes of an oxidation ditch (OD) and an MBR running parallelly at full-scale using a functional gene array-GeoChip 4.2.
Project description:Membrane bioreactor (MBR) systems are typically known different from conventional activated sludge (CAS) systems in operational parameters, while current knowledge of their microbial differentiations is barely sufficient. To this end, the current study was launched to address the differences of the overall functional genes of an oxidation ditch (OD) and an MBR running parallelly at full-scale using a functional gene array-GeoChip 4.2. Two full-scale wastewater treatment systems applying the processes of oxidation ditch (OD) and membrane bioreactor (MBR) were investigated. They treated identical wastewater at the same scale. 12 mixed-liquor suspended sludge (MLSS) samples collected daily on 12 consecutive days from each system were analyzed by GeoChip 4.2.
Project description:Pilot study Analysis of basal gene expression of the protective bones of the skull (parietals), weight-bearing bones of the limb (ulnae) and mandibular bone and teeth
Project description:This project carries out the pilot CRISPR/Cas9 screens in the K562 background. Its goals are to confirm that positive controls work, and to assess the effects of experimental parameters (listed below) on the sequencing-based fitness readout. We test 1) length of selection 2) biological replicates 3) sampling variation during bottlenecks 4) sampling variation during DNA preparation 5) sequencing depth to inform the setup for the next round of experiments. To do so, we propose to sequence 13 samples (6 timepoints, 2 biological replicates, 2 severe bottlenecks during growth, 2 bottlenecks during DNA preparation, and the screening library itself) on two lanes of HiSeq, using 19bp reads. The sequencing libraries are prepared in our lab.This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
Project description:Missing values in proteomic data sets have real consequences on downstream data analysis and reproducibility. Although several imputation methods exist to handle missing values, no single imputation method is best suited for a diverse range of data sets, and no clear strategy exists for evaluating imputation methods for large-scale DIA-MS data sets, especially at different levels of protein quantification. To navigate through the different imputation strategies available in the literature, we have established a workflow to assess imputation methods on large-scale label-free DIA-MS data sets. We used three DIA-MS data sets with real missing values to evaluate eight different imputation methods with multiple parameters at different levels of protein quantification; dilution series data set, a small pilot data set, and a larger proteomic data set.