Difference between revisions of "Lecture 01"

Revision as of 19:06, 27 September 2006

Organisation and Orientation

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Mission: Analysis must be followed by interpretation, course is hands-on, interactive and goal oriented.
Technology: Google group, Wiki, supporting material on the Web
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Lecture Slides

Slide 001

Lecture 01, Slide 001
Bioinformatics is not only required to master the quantitative aspects of the post-genomic era in molecular biology, it is a qualitative change in our approach to biology as well.

Slide 002

Lecture 01, Slide 002
Bioinformatics can be viewed as the science that develops between the two poles of data management and computational modeling of life.

Slide 003

Lecture 01, Slide 003
From its beginning, it was recognized that molecular biology is an information science, just as much as a molecular science. The abstractions and models that focus on the essence of this information, rather than on the details of its representation, have proven to be remarkably powerful in explaining the basic features of life, such as inheritance, self-organization and the process of evolution.

Slide 004

Lecture 01, Slide 004
The promises of genome analysis include harnessing the power of self assembly towards a bio-nanotechnologic revolution: growth, rather than manufacturing. This includes the vision of regenerative molecular medicine, essentially relegating disease to the dark past ages of ignorance. But while the information for a complete specification of life is undoubtedly present in the genome, life realizes itself in complex interactions between context-dependent components. This makes life essentially unpredictable, at least to our current approaches. The sheer volume of data is a comparatively minor obstacle.

Slide 005

Lecture 01, Slide 005

Slide 006

Lecture 01, Slide 006

Slide 007

Lecture 01, Slide 007

Slide 008

Lecture 01, Slide 008

Slide 009

Lecture 01, Slide 009

Slide 010

Lecture 01, Slide 010

Slide 011

Lecture 01, Slide 011

Slide 012

Lecture 01, Slide 012

Slide 013

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Slide 014

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Lecture 01, Slide 018

Slide 019

Lecture 01, Slide 019

Slide 020

Lecture 01, Slide 020

Slide 021

Lecture 01, Slide 021

Slide 022

Lecture 01, Slide 022

Slide 023

Lecture 01, Slide 023

Slide 024

Lecture 01, Slide 024

Slide 025

Lecture 01, Slide 025

Slide 026

Lecture 01, Slide 026

Slide 027

Lecture 01, Slide 027

Slide 028

Lecture 01, Slide 028

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 ======Slide 004======
 [[Image:L01_s004.jpg|frame|none|Lecture 01, Slide 004<br>
-The promises of genome analysis include harnessing the power of self assembly towards a bio-nanotechnologic revolution: growth, rather than manufacturing. The also include the vision of regenerative molecular medicine, essentially relegating disease to the dark past ages of ignorance. But while the information for a complete specification of life is undoubtedly present in the genome, it realizes itself in complex interactions between context-dependent components. This makes life essentially unpredictable, at least to our current approaches. The sheer volume of data is a comparatively minor obstacle.
+The promises of genome analysis include harnessing the power of self assembly towards a bio-nanotechnologic revolution: '''growth''', rather than '''manufacturing'''. This includes the vision of regenerative molecular medicine, essentially relegating disease to the dark past ages of ignorance. But while the information for a complete specification of life is undoubtedly present in the genome, life realizes itself in complex interactions between context-dependent components. This makes life essentially unpredictable, at least to our current approaches. The sheer volume of data is a comparatively minor obstacle.
 ]]