By Filippo Menolascina, Vitoantonio Bevilacqua (auth.), Yaochu Jin, Lipo Wang (eds.)
Biological platforms are inherently stochastic and unsure. hence, examine in bioinformatics, biomedical engineering and computational biology has to house a large number of uncertainties.
Fuzzy good judgment has proven to be a robust software in shooting varied uncertainties in engineering structures. lately, fuzzy common sense established modeling and research methods also are changing into well known in examining organic information and modeling organic structures. a number of study and alertness effects were stated that confirmed the effectiveness of fuzzy good judgment in fixing quite a lot of organic difficulties present in bioinformatics, biomedical engineering, and computational biology.
Contributed by way of major specialists world-wide, this edited publication comprises sixteen chapters featuring consultant examine effects at the software of fuzzy structures to genome series meeting, gene expression research, promoter research, cis-regulation common sense research and synthesis, reconstruction of genetic and mobile networks, besides
as biomedical difficulties, resembling clinical photo processing, electrocardiogram data
classification and anesthesia tracking and regulate. This quantity is a worthwhile reference for researchers, practitioners, in addition to graduate scholars operating within the box of bioinformstics, biomedical engineering and computational biology.
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Extra resources for Fuzzy systems in bioinformatics and computational biology
Example text
There are several factors that determine if two subsequences have an optimal overlap. We propose a method in which we select multiple subsequences and then, based on fuzzy parameters, select the optimal solution. The novelty of our method is that it uses more parameters of the sequence besides the length of overlap, and we believe that these parameters can lead to a better sequence. The sequence satisfying the aggregate overall requirement is selected. 1). The threshold is a function of the length of the LCS.
Definition 4. Nucleotide Frequencies: The measure of occurrences of nucleotide pairs of a specified length. Definition 5. Metagenome: Genome sequences containing an unspecified number of microbial organisms directly obtained from the natural habitat. 22 S. Nasser et al. The problem of sequence assembly is acquiring data and assembling the DNA fragments or sequences into an entire genome sequence. Available chemical technologies for sequences produce short fragments of DNA sequences (40 Kbp -1000 Kbp) depending on the technology.
Most of the earlier assemblers have crisp bounds and do not adapt to the datasets. For example, a dataset can contain all, or a significant number of, low quality reads. Some of the assemblers clip low quality regions, which will result in, most of the regions getting clipped and thus, not used in assembly. However, if the assembler can adapt itself and allow a new threshold for low quality, this problem can be avoided. Due to its applicability to problems that do not require hard solutions, fuzzy logic has been widely used in various fields to provide flexibility to classical algorithms.