QIAGEN Ingenuity Pathway Analysis

QIAGEN Ingenuity Pathway Analysis (IPA)提供核心分析工具，以驗證的生物路徑、疾病功能、上游調控因子、分子交互作用網絡和數據比對分析。您可以通過簡單介面操作和系統輸出檔案來存取這些資料。IPA不僅提供資料庫搜尋和數據分析，還支援進階功能，如變異體分析、生物特性篩選和磷酸化蛋白分析，這些有助於實驗設計和報告撰寫。此課程會詳細介紹如果使用IPA進行查詢分子資訊、生化路徑、疾病網路等，並且利用兩個GWAS研究資料，講解如何進行資料上傳、核心分析、資料庫收錄的13萬筆研究資料相似度比對，並且演示如何繪製出符合研究目的的專屬路徑圖，以及進行兩個以上的核心分析間的差異比較。

CLC Genomic Workbench

CLC-Bio主要專注於高通量資料，如定序或晶片產出的原始資料拼裝整合。針對不同的定序類型（例如基因體全定序、外顯子全定序、RNA定序或微生物體學定序），並設計了自動化資料處理程序，透過一鍵操作，讓使用者快速獲得所需的分析結果，同時讓使用者自訂自己的自動化分析流程。此工作坊分為兩部分：首先，我們將介紹新版CLC RNA-Seq工具，詳細說明如何在現有的流程中重新利用資料，以降低額外成本。接著，我們將介紹CLC LightSpeed模組，該模組能在較低規格的電腦上快速進行WES資料分析，並在短短幾十分鐘內生成初步的VCF格式資料。

QIAGEN Ingenuity Pathway Analysis

QIAGEN Ingenuity Pathway Analysis (IPA) provides core analytical tools for validated biological pathways, disease functions, upstream regulatory factors, molecular interaction networks, and data comparison analysis. These data can be accessed through a user-friendly interface with system-generated file outputs. IPA not only offers database search and data analysis but also supports advanced functions like variant analysis, biological feature selection, and phosphorylated protein analysis, aiding in experimental design and report generation. This course will comprehensively guide you on how to use IPA to query molecular information, biochemical pathways, disease networks, etc. It will cover the process of uploading data and performing core analyses using two GWAS study datasets. The course will explain how to compare the similarity of the uploaded data with a database containing 130,000 research entries, and demonstrate how to create personalized pathway maps tailored to the research objectives. Additionally, it will showcase the comparison of differences between two or more core analyses.

CLC Genomic Workbench

CLC-Bio primarily focuses on high-throughput data, such as raw data assembly and integration from sequencing or chip output. For various sequencing types like whole-genome sequencing, exon sequencing, RNA sequencing, or metagenomics sequencing, automated data processing procedures have been designed. These allow users to quickly obtain desired analysis results through one-click operations and customize their own automated analysis workflows. This workshop is divided into two parts: first, we introduce the new CLC RNA-Seq tool, explaining in detail how to reuse data in existing workflows to reduce additional costs. Then, we introduce the CLC LightSpeed module, enabling fast WES data analysis on lower-spec computers, generating preliminary VCF format data in just a short period of time.”