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Visualizing protein
sequence annotations
Rafael Jimenez
EMBL-EBI, 28 February 2008
Visualization in Science
The goal of visualization is to leverage existing
scientific methods by providing scientific insight
through visual methods. The National Science Foundation’s report
on “Visualization in Scientific Computing”, 1987
Visualization useful for:
- Acquiring new insights
- Gaining understanding of the problem
In molecular biology we have used different
methodologies to visualize proteins
Visualization of proteins
Immunofluorescence
Visualization of proteins
Immunohistochemistry
Visualization of proteins
Western blot
Visualization of proteins
2D protein gel electrophoresis
Visualization of proteins in bioinformatics
Protein sequence
Visualization of proteins in bioinformatics
Protein sequence alignment
Visualization of proteins in bioinformatics
Protein sequence homology
Visualization of proteins in bioinformatics
Protein sequence annotations
Visualization of proteins in bioinformatics
Protein sequence repetitions
Visualization of proteins in bioinformatics
MS-Spectra
Visualization of proteins in bioinformatics
Protein structure
Visualization of proteins in bioinformatics
Protein docking
Visualization of proteins in bioinformatics
Protein-protein interactions
Visualization of proteins in bioinformatics
Protein microarrays
What type of Visualization?
Information visualization vs. Scientific visualization
Information visualization is a process of transforming
data and information that are not inherently spatial
into a visual form, allowing the user to observe and
understand the information. (N. Gershon, foreword of the
proceedings of the first IEEE Symposium on Information Visualization)
Scientific visualization deals with data that usually
has an intrinsic representation. (JD. Fekete, Interactive
Information Visualization of a Million Items).
Information visualization of proteins
Heat maps
Information visualization of proteins
Heat maps
Information visualization of proteins
Treemaps
Does the difference between Information and
Scientific Visualization really matter?
• Visualization: (Scientific + Information) visualization
T.M. Rhyne
Does the difference between Information
and Scientific Visualization Really Matter?
• Bioinformatics data
• Visualization methods/techniques I.VS.V.
Visualization of Large Data Sets
• It is a problem of visualization, perception and
interaction
J.D. Fekete, Interactive Information Visualization of a Million Items, 2002
Visualization
• Visualization limited to a few thousand of items
• Techniques: aggregation, sampling and extracting,
occlusion and overlapping, grouping, …
Visualization of Large Data Sets
• Visualization should relay on preattentive graphical
features
• Features recognized “at glance” without effort
– Ex1: Finding a name in a sorted list
– Ex2: Spotting red dots among blue dots
Perception
Visualization of Large Data Sets
• Steps of visual information (“dynamic queries”):
– Overview of the data sets
– Zoom in on items of interest
– Filter out uninterested items
– Details on demand
Ahlberg and Shneiderman, Visual Information Seeking: Tight Coupling of
Dynamic Queries Filters with Satrfield Display, 1994
• Dealing with large data sets => brings interaction to a
very slow motion
Interactive techniques
Visualization of Large Data Sets
Interactive techniques
Visualization of Protein Sequence Annotations
• Federate database systems => Large data sets
The Distributed Annotation System, 2001 Dowell et al;
BMC Bioinformatics. 2001; 2: 7. Published online 2001 October 10.
Visualization of Protein Sequence Annotations
• Distributed Annotation System.
• RESTful web service
• Uniform access to multiple repositories of biological
data.
• Repositories distributed in different geographical
locations.
• Different biological data types (Genome, Protein
sequence, Protein structure, …)
• System widely adopted.
• Requires visual clients (connect + merge + display).
• More ... http://biodas.org
DAS
Visualization of Protein Sequence Annotations
Spice
Link
Visualization of Protein Sequence Annotations
Protein viewer Ensembl
Link
Visualization of Protein Sequence Annotations
Dasty2
Link
Conclusion
• Researchers and Bioinformaticians are more used to
Scientific visualization of protein sequence
annotation.
• Information Visualization is a important additional
value to visualization of protein sequence annotation.
• Techniques, methods and ideas from both,
Information and Scientific Visualization, should be
taken into account for effective visualizations.
• We are just presenting a small percentage of protein
information. DAS is an example of how to connect
different data types. This brings new challenges in
protein visualization.
Thanks!
• To all of you for coming!
• And specially to …
– Nils Gehlenborg
– Henning Hermjakob
– Juan A. Vizcaino

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Visualizing protein sequence annotations

  • 1. Visualizing protein sequence annotations Rafael Jimenez EMBL-EBI, 28 February 2008
  • 2. Visualization in Science The goal of visualization is to leverage existing scientific methods by providing scientific insight through visual methods. The National Science Foundation’s report on “Visualization in Scientific Computing”, 1987 Visualization useful for: - Acquiring new insights - Gaining understanding of the problem In molecular biology we have used different methodologies to visualize proteins
  • 6. Visualization of proteins 2D protein gel electrophoresis
  • 7. Visualization of proteins in bioinformatics Protein sequence
  • 8. Visualization of proteins in bioinformatics Protein sequence alignment
  • 9. Visualization of proteins in bioinformatics Protein sequence homology
  • 10. Visualization of proteins in bioinformatics Protein sequence annotations
  • 11. Visualization of proteins in bioinformatics Protein sequence repetitions
  • 12. Visualization of proteins in bioinformatics MS-Spectra
  • 13. Visualization of proteins in bioinformatics Protein structure
  • 14. Visualization of proteins in bioinformatics Protein docking
  • 15. Visualization of proteins in bioinformatics Protein-protein interactions
  • 16. Visualization of proteins in bioinformatics Protein microarrays
  • 17. What type of Visualization? Information visualization vs. Scientific visualization Information visualization is a process of transforming data and information that are not inherently spatial into a visual form, allowing the user to observe and understand the information. (N. Gershon, foreword of the proceedings of the first IEEE Symposium on Information Visualization) Scientific visualization deals with data that usually has an intrinsic representation. (JD. Fekete, Interactive Information Visualization of a Million Items).
  • 18. Information visualization of proteins Heat maps
  • 19. Information visualization of proteins Heat maps
  • 20. Information visualization of proteins Treemaps
  • 21. Does the difference between Information and Scientific Visualization really matter? • Visualization: (Scientific + Information) visualization T.M. Rhyne Does the difference between Information and Scientific Visualization Really Matter? • Bioinformatics data • Visualization methods/techniques I.VS.V.
  • 22. Visualization of Large Data Sets • It is a problem of visualization, perception and interaction J.D. Fekete, Interactive Information Visualization of a Million Items, 2002 Visualization • Visualization limited to a few thousand of items • Techniques: aggregation, sampling and extracting, occlusion and overlapping, grouping, …
  • 23. Visualization of Large Data Sets • Visualization should relay on preattentive graphical features • Features recognized “at glance” without effort – Ex1: Finding a name in a sorted list – Ex2: Spotting red dots among blue dots Perception
  • 24. Visualization of Large Data Sets • Steps of visual information (“dynamic queries”): – Overview of the data sets – Zoom in on items of interest – Filter out uninterested items – Details on demand Ahlberg and Shneiderman, Visual Information Seeking: Tight Coupling of Dynamic Queries Filters with Satrfield Display, 1994 • Dealing with large data sets => brings interaction to a very slow motion Interactive techniques
  • 25. Visualization of Large Data Sets Interactive techniques
  • 26. Visualization of Protein Sequence Annotations • Federate database systems => Large data sets The Distributed Annotation System, 2001 Dowell et al; BMC Bioinformatics. 2001; 2: 7. Published online 2001 October 10.
  • 27. Visualization of Protein Sequence Annotations • Distributed Annotation System. • RESTful web service • Uniform access to multiple repositories of biological data. • Repositories distributed in different geographical locations. • Different biological data types (Genome, Protein sequence, Protein structure, …) • System widely adopted. • Requires visual clients (connect + merge + display). • More ... http://biodas.org DAS
  • 28. Visualization of Protein Sequence Annotations Spice Link
  • 29. Visualization of Protein Sequence Annotations Protein viewer Ensembl Link
  • 30. Visualization of Protein Sequence Annotations Dasty2 Link
  • 31. Conclusion • Researchers and Bioinformaticians are more used to Scientific visualization of protein sequence annotation. • Information Visualization is a important additional value to visualization of protein sequence annotation. • Techniques, methods and ideas from both, Information and Scientific Visualization, should be taken into account for effective visualizations. • We are just presenting a small percentage of protein information. DAS is an example of how to connect different data types. This brings new challenges in protein visualization.
  • 32. Thanks! • To all of you for coming! • And specially to … – Nils Gehlenborg – Henning Hermjakob – Juan A. Vizcaino

Editor's Notes

  1. Molecular hybridization
  2. Protein expression profile
  3. Similarity among experiments identifying proteins in plasma
  4. Organized by metadata Vector Space Model
  5. S.V. & I.V. Overlaps and one can support each other
  6. Ex1: Finding a name in a non-sorted list REQUIRES a time proportional to the number of labels Ex2: When using more colors, the ERROR rate and time required to search colored items increase substantially