NDLI: Nanoengineering bioinformatics: Fourier transform and entropy analysis

Content Provider	IEEE Xplore Digital Library
Author	Lyshevski, S.E. Krueger, F.A.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., Rochester Inst. of Technol., NY, USA (Lyshevski, S.E.; Krueger, F.A.)
Abstract	We apply and enhance the cornerstone theoretical fundamentals of engineering bioinformatics to complement nanotechnology. In particular, nanoengineering bioinformatics is examined and formulated as a coherent abstraction in cognitive analysis of complex inorganic, organic and hybrid nanosystems. We report the application of an entropy-enhanced frequency-domain analysis concept to examine large-scale genomic data. This ensures superior coherency for qualitative and quantitative analysis. Conventionally, bioinformatics emphasizes the application of statistical methods attempting to analyze large-scale data produced by high-throughput experiments including complex gene sequencing. It is illustrated that bioinformatics can be expanded to a systems-based perspective by making use of novel concepts thereby positioning bioinformatics to play a significant role in engineering and technology. It is our goal to evolve the nanoengineering bioinformatics to coherently analyze the genomic data identifying, qualifying and quantifying complex genes in functional biological systems. The ultimate goal for the application of nanoengineering bioinformatics is in the development of system-level knowledge in order to devise novel paradigms for discovering entirely new systems with superior functionality and performance. In contrast, biomedical informatics examines the data from a more narrow-focused perspective and focuses on data and knowledge integration to analyze the biological processes. To enable the integration between computational, experimental, stochastic and deterministic modeling, novel information-theoretical methods should be applied to guarantee coherent representation and possible evaluation from organic to hybrid systems. These methods must be robust and utilize incomplete and inaccurate information, sequencing gaps, noncoding regions, unsolved interactions, multiple modeling hierarchies, unknown phenomena, lack of information, etc. It is demonstrated that the proposed entropy-enhanced frequency-domain concept promises to solve a number of long-standing problems. The reported paradigm complements a number of far-reaching perceptions of engineering bioinformatics.
Sponsorship	American Automatic Control Council IFAC
Starting Page	317
Ending Page	322
File Size	495244
Page Count	6
File Format	PDF
ISBN	0780383354
ISSN	07431619
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Bioinformatics Fourier transforms Entropy Nanobioscience Large-scale systems Genomics Data analysis Biological system modeling Nanotechnology Frequency domain analysis
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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