This document discusses volatile organic compounds (VOCs) and their potential use for early cancer diagnosis. It provides an introduction to VOCs and explains that they can be detected in body fluids and may provide a non-invasive screening method. The document also lists several text mining tools and techniques that can be used to search literature on VOCs and cancers, including PubMed, PubTator, Chilibot, and various databases for metabolomic data retrieval and linking.

1. BYBY
BENITTABENITTA
BENNYBENNY
MSc.BioinformaticsMSc.Bioinformatics

2. CONTENTS
• INTRODUCTION
• VOCs
• LIST OF CANCERS
• TEXT MINING TOOLS
• RESULT

3. INTRODUCTION
• VOCs are compounds that exhibit high vapor pressure at
normal room temperature.
• VOCs are detectable in various body fluids they provide a fast
and convenient alternative solution for early cancer diagnosis
and screening
• VOCs can easily be browsed /searched using various options
facilitating easy retrieval and dissemination of information.
• Further to facilitate retrieval of existing data, each record is
hyperlinked to other databases like the human metabolome
database, ChemSpider and PubChem.

4. LIST OF CANCERS
2016

5. TEXT MINING TECHNIQUES
• Text mining- interdisciplinary field that utilizes
techniques and combines methodologies from
various other areas
• Information retrieval
• Information extraction
• Text categorization
• Text summarization
• Text clustering.

6. CITE EXPLORE/PMC

7. GOOGLE SCHOLAR

8. HUBMED

9. PUBMED

10. PMC

11. PUBTATOR

12. PUBTATOR (output)

13. PUBTATOR (output)

14. CHILIBOT INPUT

15. CHILIBOT OUTPUT

16. CHILIBOT OUTPUT

17. ULTIMATE RESEARCH
ASSISTANT(input)

18. OUTPUT

20. HMDB

22. TOOLS
• GENETAG ftp://ftp.ncbi.nlm.nih.gov/pub/tanabe
• GENIA http://www-tsujii.is.s.u-tokyo.ac.jp/GENIA
• BioContrasts http://biocontrasts.biopathway.org
• BioText http://biosearch.berkeley.edu
• EBIMed http://www.ebi.ac.uk/Rebholz-srv/ebimed/
• GoPubMed http://www.gopubmed.org
• McSyBi http://textlens.hgc.jp/McSyBi/
• MedEvi http://www.ebi.ac.uk/tc-
test/textmining/medevi

23. Textpresso http://www.textpresso.org/
Twease http://twease.org/medline/app
Coremine http://www.coremine.com/medical/#search
Next bio http://www.nextbio.com/b/search/lit.nb
Semantic medline https://skr3.nlm.nih.gov/index.html
Pubnet http://pubnet.gersteinlab.org/
PIE
https://www.ncbi.nlm.nih.gov/CBBresearch/Wilbur/IRET/PIE/
Info-PubMed http://www-tsujii.is.s.u-tokyo.ac.jp/info-pubmed/
MEDIE http://www-tsujii.is.s.u-tokyo.ac.jp/medie/
eTBLAST http://invention.swmed.edu
E-BioSci http://e-biosci.org
iHOP http://www.ihop-net.org/UniPub/iHOP/

24. THANK YOUTHANK YOU