Graph traversals, genes and matroids: an efficient case of the travelling salesman problem
Discrete Applied Mathematics - Special volume on computational molecular biology DAM-CMB series volume 2
Hybrid Genetic Algorithm for DNA Sequencing with Errors
Journal of Heuristics
An Expert Network for DNA Sequence Analysis
IEEE Intelligent Systems
Challenges for Intelligent Systems in Biology
IEEE Intelligent Systems
Complexity of DNA sequencing by hybridization
Theoretical Computer Science
Biological applications of multi-relational data mining
ACM SIGKDD Explorations Newsletter
Introduction to the IEEE/ACM Transactions on Computational Biology and Bioinformatics
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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ACM Computing Surveys (CSUR)
Integration of biological sources: current systems and challenges ahead
ACM SIGMOD Record
Expert Systems with Applications: An International Journal
BioMen: an information system to herbarium
Expert Systems with Applications: An International Journal
KSPF: using gene sequence patterns and data mining for biological knowledge management
Expert Systems with Applications: An International Journal
Review: Expert systems and evolutionary computing for financial investing: A review
Expert Systems with Applications: An International Journal
Multi-parent extension of partially mapped crossover for combinatorial optimization problems
Expert Systems with Applications: An International Journal
Gene clustering by using query-based self-organizing maps
Expert Systems with Applications: An International Journal
Attempt to design a bio-medical knowledge discovery system
International Journal of Bio-Inspired Computation
Robust approach for estimating probabilities in Naïve-Bayes Classifier for gene expression data
Expert Systems with Applications: An International Journal
PolyA-iEP: A data mining method for the effective prediction of polyadenylation sites
Expert Systems with Applications: An International Journal
An expert system based on analytical hierarchy process for diabetes risk assessment (DIABRA)
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Review article: Computational intelligence techniques in bioinformatics
Computational Biology and Chemistry
Hi-index | 12.06 |
Artificial intelligence (AI) has increasingly gained attention in bioinformatics research and computational molecular biology. With the availability of different types of AI algorithms, it has become common for the researchers to apply the off-shelf systems to classify and mine their databases. At present, with various intelligent methods available in the literature, researchers are facing difficulties in choosing the best method that could be applied to a specific data set. Researchers need tools, which present the data in a comprehensible fashion, annotated with context, estimates of accuracy and explanation. This article aims to review the use of AI in the areas of bioinformatics and computational molecular biology (DNA sequencing). These areas have risen from the needs of biologists to utilize and help interpret the vast amounts of data that are constantly being gathered in genomic research. The underlying motivation for many of the bioinformatics and DNA sequencing approaches is the evolution of organisms and the complexity of working with erroneous data. This article also describes the kind of software programs which were developed by the research community in order to (1) search, classify and mine different available biological databases; (2) simulate biological experiments with and without errors.