2015 Spring Workshop on Biomedical Research in High throughput biology: From Experimental Design, Data Analyzing to Results recording

新世代高通量生物醫學數據之實驗設計，資料分析與結果記錄

 

Date: June 9, 2015,  9:30 -12:00       Venue: 人文館遠端會議室

0.引言/Opening

9:30-9:40: 林仲彥  博士 (Chung-Yen Lin Ph.D.)

系統網路生物實驗室 (Lab of Systems Biology and Network Biology， http://eln.iis.sinica.edu.tw)

中央研究院資訊科學研究所 (Institute of Information Science, Academia Sinica)

內容：將簡介實驗室相關生物醫學巨量資料研究、以及已發表公開的生物資訊系統平台與資料庫等。

This brief will show our recently research works about biomedical big data and their applications. Meanwhile, we will show you those published web applications and databases available for public.

[Slides in PDF]

1.  次世代高通量基因組測序 - NGS平台原理和實驗設計的考量/ Next-Generation Sequencing – principles of NGS platforms and experimental considerations

9:40 - 10:20： Mei-Yeh Lu Ph.D., 呂美曄博士

研究副技師, 生物多樣性研究中心(Associate Research Specialist, Biodiversity Research Center)

中央研究院定序中心 (Acedmia Sinica)

Abstract:

內容: 本課程將介紹常用的NGS平台、原理、和常見的應用。內容也將包括平台選擇，實驗設計的總體考量，以及NGS應用相關的樣本問題。

 

This lecture will introduce the principles of the popular NGS platforms and their common applications. The contents will also address the general considerations for choice of platform, experimental design of omics study, and related sample issues.

[Slides in PDF]

2. 次世代定序之線上基因概況分析平台/ Multi-Omics onLine Analysis System (MOLAS)

10:30 - 11:10 Shu-Hwa Chen Ph.D., 陳淑華 博士

系統網路生物實驗室 

(Lab of Systems Biology and Network Biology， http://eln.iis.sinica.edu.tw)

中央研究院資訊科學研究所 (Institute of Information Science, Academia Sinica)

內容: 簡介運用於人類與小鼠等模式生物之次世代定序結果基因概況線上分析平台

Here we present MOLAS, Multi-Omics onLine Analysis System, a robust web application which can take gene expression data (FPKM/RPKM/CPM) from different libraries as inputs, map these expressed genes with build-in annotations for further analyses and reveal biological meaning of the complex data in the intuitive interface.

Web link for result: http://molas.iis.sinica.edu.tw/molas_demo/

Help page: http://molas.iis.sinica.edu.tw/help.html

[Slides in PDF]

3.電子實驗室記錄本/Elegance: Electronic Lab Notebook-- Digitize your experimental designs and results into wisdom from Discovery to Publication 

 11:20 - 12:00 黃智偉 先生 (Mr. Chi-Wei Huang)

系統網路生物實驗室 (Lab of Systems Biology and Network Biology， http://eln.iis.sinica.edu.tw)

中央研究院資訊科學研究所 (Institute of Information Science, Academia Sinica)

內容: 電子實驗室記錄本之運用與維護

將實驗室中所產生的各種紀錄與大量數據，以電子化方式儲存於網路伺服器/一般桌上型/筆記型電腦，可藉由一般電腦、筆記型電腦與移動式裝置如智慧型手機與平板電腦等，以一般的網路瀏覽器就可以來存取實驗相關內容與研究數據，以高親和性介面，協助使用者管理、分享、搜尋、備份、列印，及與國內外研究伙伴線上討論相關問題，讓實驗室的眾多智慧、想法與研究歷程得以紀錄回顧與交互串連，不受時空與人員異動的影響，讓實驗室的智慧結晶得以快速存取與整合，並隨時上傳新的想法與心得，即時分享給研究伙伴，加速研究的進展。

The hand-writing, paper-based recording way is not competent to keep data in increasing volumes and complexity, and is hard to make data sharing in a cooperating project among various disciplines and research communities. With more and more outputs generated with digital deluge from high throughput biology, a web platform we developed for knowledge repository with the functions like search, backup, reconstruction will be an important issue in current laboratories for daily records.

平台： Electronic Laboratory Notebook (ELN) (影音簡介)

下載：Windows/ Mac， Linux/ Cloud version

[Slides in PDF]