Topic Pathway Analysis
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Registration: https://cbiit.webex.com/cbiit/onstage/g.php?MTID=ec198bc69667ba131397fb48e0c9b9708 Presenter: Christian Zinser PhD Head of Bioinformativs at Precigen Bioinformatics Germany Description: This presentation will give you an overview of the Genomatix Genome Analyzer (GGA) functionalities and data background. The
Presenter: Christian Zinser PhD Head of Bioinformativs at Precigen Bioinformatics Germany
Description: This presentation will give you an overview of the Genomatix Genome Analyzer (GGA) functionalities and data background.
The GGA is Genomatix’s integrated solution for the analysis of Next Generation Sequencing (NGS) data, gene regulation, and pathway analysis. It includes a comprehensive genome annotation and data visualization, accessible in an intuitive web-based GUI.
The biological background data consisting of annotation and gene network data provided by ElDorado plus the transcription factor knowledge contained in MatBase lets researchers analyze and interpret their experimental results in a unique biological context for 26 different species. Differential expression analysis, gene network and pathway generation, regulatory frameworks, literature analysis and binding site motif definition are only a few of the tasks that can be performed.
POC: Daoud Meerzaman
(Wednesday) 10:00 am - 11:00 am
Register Session Description Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA
Learn how to get started on using QIAGEN’s Ingenuity Pathway Analysis (IPA) to quickly identify biological relationships, mechanisms, pathways, functions and diseases most relevant to experimental datasets. IPA is cited in tens of thousands of peer-reviewed articles. The class will demonstrate how to explore IPA’s knowledge & discovery tools to relate the most recent literature findings to your research. The demo session will mainly focus on biological interpretation of expression data but will also cover multi-omics analysis including variant data and phosphoproteomics.
Getting Started: fundamentals of IPA; overview of key features; search & pathway building; advanced search; building & editing pathways; using Build & Overlay tools. Dataset Analysis: data upload & analysis; interpretation of gene, transcript, protein & metabolite data; pathway analysis & canonical pathways; downstream effects & interpreting the heat map; causal regulators and their directional effect on genes, functions and diseases across multiple time points or doses; interpreting networks; comparison & multiple observations analysis; miRNA and isoform analysis; BioProfiler: define relationships between molecule activity and diseases/processes in the literature. Q & A session: A QIAGEN Ingenuity Field Applications Scientist will be available to answer individual questions or discuss specific projects.
(Wednesday) 10:00 am - 3:00 pm
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