TDS LIMS: A Platform for Comprehensive Management and Analysis of Screening Data
Poster Apr 07, 2006
Karol Kozak, Marta Kozak, Jan Wagner, Hannes Grabner, Kerstin Korn, Eugenio Fava, Marit Biesold, Claudia Moebius, Anett Lohman and Ebrhard Krausz
Data management has become one of the central issues in high-throughput screening. In particularl High-Content Screening applying automated microscopy requires a system, which is capable of storing and analyzing vast amounts of data. These data include comprehensive information about the bioactive molecules, the targeted genes, the physical plates, the assays, and images as well as their extracted data matrices after acquisition and analysis.
Here we present a web-based bioinformatics solution for the management and analysis of all areas of cell-based screen experimentation: the Laboratory Information Management System of the Technology Development Studio (TDS-LIMS). TDS-LIMS is a software package consisting of the Library Checker, Library Browser, Scheduling Kit, Screen Browser and Screen Publisher. The following illustration describes these tools as well as the data workflow, both working as a framework for storing, browsing and analyzing screening information.
Knockout of microRNAs Using the CRISPR-Cas9 System with Paired Synthetic crRNAsPoster
We utilized paired synthetic crRNAs coupled with our synthetic tracrRNA in cells transduced with lentiviral Cas9 to perform a functional knockout on hsa-miR-221. This three-part system (crRNA, tracrRNA and Cas9) has demonstrated efficient gene editing when used with only one guide RNA, but the goal was to use two crRNAs to remove the entire stem-loop.READ MORE
New Biotransformation Prediction Engine Integrated into a Metabolite Identification SolutionPoster
Here we present a new prediction algorithm that determines the likelihood of biotransformation reactions, and subsequent metabolite identification, within an automated processing routine.READ MORE
A New Method for Analyzing MSe/All Ions Fragmentation in Xenobiotic Metabolism StudiesPoster
During early drug discovery, the study of metabolism plays an essential role in determining which drug candidates move forward into development and later stages. As an alternative to traditional Data Dependent Acquisition (DDA), the use of MSE/All Ions Fragmentation (AIF) has become common in metabolite identification workflows for the analysis of metabolic hot spots. Here we present a solution for analysis of MSE/AlF in metID studies.READ MORE
5th edition of the International Conference Clinical Oncology and Molecular Diagnostics
Jun 17 - Jun 18, 2019