1. ISILab colleague must use EndNote !!! Woo-Hyuk Jang

2. Contents What? and Why? Practical Usage Guide – Import Google Scholar Paper – Import PubMed Paper Write Paper Using EndNote

3. What is EndNote? EndNote is a very famous commercial reference management software package, used to manage bibliographies and references Made by Thomson Reuters Latest version, X3 fully supports MS-word and OpenOffice

4. Why should we use this? Reference management is troublesome work – Consider the long-term degree course – Author, title, page, year, … It’s easy to write, but it’s not easy to correctly write – There are many different styles required by conference or journal editor EndNote is easy and powerful, – Many literature databases support EndNote citation format – 10 min to understand its usage

5. Download EndNote X3 Visit KAIST library ( http://library.kaist.ac.kr )http://library.kaist.ac.kr 전자정보검색 (e-resources)  데이터베이스  EndNote Desktop (X3)

6. Download EndNote X3 Run EndNote  File  New (Create a new reference library)

7. Import Google Scholar Search Results Google Scholar  Scholar Preferences  Bibliography Manager (EndNote)  Save

8. Import Google Scholar Search Results Save and Import citation to EndNote

9. Import PubMed Search Results Select “more…” in the Online Search Find PubMed(NLM) databases

10. Import PubMed Search Results Search Paper directly!

11. Write Paper using EndNote Run MS-word and EndNote

12. Write Paper using EndNote Select corresponding reference and insert Reference is automatically added and removed by its reference pointer

13. Conclusion Reference management is an essential task for researchers to keep up to date the research trend It is not so difficult, but annoying work, and mistake in it may harm to paper quality EndNote can reduce these effort enormously Let’s use EndNote, and focus more on method itself!!

14. 1 월 계획 Journal submission 관련 – NAR database issue [1], BMC Bioinformatics[2] 순 서로 투고 예정 – 두 저널 모두 활용 가능한 프로그램이나 데이터 를 추가하는 것이 채택 확률이 높다고 판단됨 – 논문의 내용을 서비스 할 수 있는 웹 페이지 및 어플리케이션 제공 이후 논문 보충 필요 – 프로그램 개발은 3 주를 넘지 않도록.. 개발 전략 및 일정은 다음 장에 …

15. FACCT PPI version FACCT (Feature based Associative Cohesion and Coupling Trainer) – PreSPI 와 차별화를 위해 – Feature Learning 부분 : Java Application – Service 부분 : Google Web Toolkit + Google App Engine / Java – http://facct-ppi.appspot.com

16. FACCT PPI version Functions – How strongly do features work together? Param: domain(s), Return: all-confidence of domain combination including given domain(s) – Does the protein pair interact together? then what domain combination plays a key roll in that? Param: two proteins Return: Interaction Probability (IP), Interaction Significance (IS) list of all domain combination pairs – …. (to be updated)

17. FACCT PPI version Pre Compiler Feature, Object Pair Raw data AdministratorApp Engine Server Client Cohesion and Coupling Analysis IS matrix + Service relevant data structure (Relational DB) Updater (Parser) Datastore Persistence Manager (servlet) Datastore Modeller Google App Engine datastore model Persistence Object Query Manager Query Sender Predictor Service Manager Determine Service Type IS matrix + Service relevant data structure (OODB)

18. Time Table Work To do 1/4 1/11 1/18 1/25 Datastore Modelling Service 1 Service 2 Paper Modification Editing / Submission