Difference between revisions of "Category:Bioinformatics"

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Research in computational biology often overlaps with systems biology. Major research efforts in the field include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution. The terms bioinformatics and computational biology are often used interchangeably, although the latter typically focuses on algorithm development and specific computational methods. (In the biology-mathematics-computer science triad, bioinformatics will intimately involve all three components while computational biology will focus on biology and mathematics.) A common thread in projects in bioinformatics and computational biology is the use of mathematical tools to extract useful information from noisy data produced by high-throughput biological techniques. (The field of data mining overlaps with computational biology in this regard.) Representative problems in computational biology include the assembly of high-quality DNA sequences from fragmentary "shotgun" DNA sequencing, and the prediction of gene regulation with data from mRNA microarrays or mass spectrometry.
 
Research in computational biology often overlaps with systems biology. Major research efforts in the field include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution. The terms bioinformatics and computational biology are often used interchangeably, although the latter typically focuses on algorithm development and specific computational methods. (In the biology-mathematics-computer science triad, bioinformatics will intimately involve all three components while computational biology will focus on biology and mathematics.) A common thread in projects in bioinformatics and computational biology is the use of mathematical tools to extract useful information from noisy data produced by high-throughput biological techniques. (The field of data mining overlaps with computational biology in this regard.) Representative problems in computational biology include the assembly of high-quality DNA sequences from fragmentary "shotgun" DNA sequencing, and the prediction of gene regulation with data from mRNA microarrays or mass spectrometry.
  
==Source==
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==Research==
* [http://en.wikipedia.org/wiki/Bioinformatics Wikipedia.org]
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Most of the scientific research I have done since May of 2000 could be described as Bioinformatics or computational biology. For more information on this research, please see the following:
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* [[:Category:Academic Research|Research I have done in the field]]
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==Projects / Servers==
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Below are links to external websites where I was the primary researcher. These are mainly Servers that I have setup:
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* [http://gac-web.cgrb.oregonstate.edu/zDNA/ ZHunt Online] — information on Z-DNA. Server was setup by Sandor Maurice, however, we both built the backend, algorithms, and analyses.
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* [http://structure.pitt.edu/servers/fastcontact/ FastContact Server] — a free energy scoring tool for protein-protein complex structures.
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* [http://structure.pitt.edu/servers/domainsplit/ DomainSplit Server] — predicts the number of domains in a given protein (PDB format)
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==Links==
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* [[:Category:Links - Science#Bioinformatics|Bioinformatics links]]
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==References==
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* [http://en.wikipedia.org/wiki/Bioinformatics Wikipedia article on Bioinformatics]
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[[Category:Academia]]
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[[Category:Science]]

Revision as of 14:05, 23 December 2005

Bioinformatics or computational biology is the use of techniques from applied mathematics, informatics, statistics, and computer science to solve biological problems.

Research in computational biology often overlaps with systems biology. Major research efforts in the field include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution. The terms bioinformatics and computational biology are often used interchangeably, although the latter typically focuses on algorithm development and specific computational methods. (In the biology-mathematics-computer science triad, bioinformatics will intimately involve all three components while computational biology will focus on biology and mathematics.) A common thread in projects in bioinformatics and computational biology is the use of mathematical tools to extract useful information from noisy data produced by high-throughput biological techniques. (The field of data mining overlaps with computational biology in this regard.) Representative problems in computational biology include the assembly of high-quality DNA sequences from fragmentary "shotgun" DNA sequencing, and the prediction of gene regulation with data from mRNA microarrays or mass spectrometry.

Research

Most of the scientific research I have done since May of 2000 could be described as Bioinformatics or computational biology. For more information on this research, please see the following:

Projects / Servers

Below are links to external websites where I was the primary researcher. These are mainly Servers that I have setup:

  • ZHunt Online — information on Z-DNA. Server was setup by Sandor Maurice, however, we both built the backend, algorithms, and analyses.
  • FastContact Server — a free energy scoring tool for protein-protein complex structures.
  • DomainSplit Server — predicts the number of domains in a given protein (PDB format)

Links

References

Subcategories

This category has the following 5 subcategories, out of 5 total.