商品描述
After the great expansion of genome-wide association studies, their scientific methodology and, notably, their data analysis has matured in recent years, and they are a keystone in large epidemiological studies. Newcomers to the field are confronted with a wealth of data, resources and methods. This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools and guides the reader through the use of publicly available data. Includes clear, readable programming codes for readers to reproduce and adapt to their own data.
- Emphasises extracting biologically meaningful associations between traits of interest and genomic, transcriptomic and epigenomic data
- Uses up-to-date methods to exploit omic data
- Presents methods through specific examples and computing sessions
- Supplemented by a website, including code, datasets, and solutions
商品描述(中文翻譯)
在基因組廣泛關聯研究（genome-wide association studies）大規模擴展之後，其科學方法論，特別是數據分析在近年來已經成熟，並且成為大型流行病學研究的基石。新進入該領域的人面臨著大量的數據、資源和方法。本書介紹了使用已建立的生物資訊工具進行信息性分析的當前方法，並指導讀者如何使用公開可用的數據。書中包含清晰易讀的程式碼，供讀者重現並調整以適應自己的數據。
- 強調提取與感興趣的性狀及基因組、轉錄組和表觀基因組數據之間的生物學意義關聯
- 使用最新方法來利用組學數據
- 通過具體示例和計算會話來呈現方法
- 附有網站，包括程式碼、數據集和解決方案
作者簡介
Juan R. González is an Associate Research Professor leading the Bioinformatics Research Group in Epidemiology at Barcelona Institute for Global Health. He has published extensively on methods and bioinformatics tools to detect structural variants from genomic data and to perform different types of omic association studies. Dr. González is the author of a large number of R and Bioconductor packages including state-of-the-art libraries such as SNPassoc or MAD that have been used to discover new susceptibility genetic factor for complex diseases.
Alejandro Caceres is a Senior Statistician in the Bioinformatics Research Group in Epidemiology at Barcelona Institute for Global Health. He has large experience in developing new statistical methods to exploit genomic, transcriptomic and epigenomic data obtained from public repositories. Dr. Cáceres is the author of several R and Bioconductor packages that have been used, for instance, to study the role of polymorphic genomic inversions in complex diseases or to investigate how the downregulation of chromosome Y may affect age-related diseases.
作者簡介(中文翻譯)
胡安·R·岡薩雷斯是巴塞隆納全球健康研究所流行病學生物資訊研究小組的副研究教授。他在檢測基因組數據中的結構變異以及執行不同類型的組學關聯研究方面發表了大量的研究成果。岡薩雷斯博士是多個R和Bioconductor套件的作者，包括SNPassoc和MAD等先進的庫，這些工具已被用於發現複雜疾病的新易感基因因素。
亞歷杭德羅·卡塞雷斯是巴塞隆納全球健康研究所流行病學生物資訊研究小組的高級統計學家。他在開發新統計方法以利用從公共資料庫獲得的基因組、轉錄組和表觀基因組數據方面擁有豐富的經驗。卡塞雷斯博士是幾個R和Bioconductor套件的作者，這些套件被用於研究多態性基因組反轉在複雜疾病中的作用，或調查Y染色體的下調如何影響與年齡相關的疾病。
