Computational methods in Bioinformatics: Introduction, Review, and Challenges
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Summary
The report provides a brief introduction to molecular biology for non-biologists, with focus on understanding the basic biological problems which triggered the exponentially growing research activities in the bioinformatics fields.
- Type
- article
- Published
- 2001-05-01
- Cited by
- 0
- References
- 106
- OpenAlex
- https://openalex.org/W1618105221
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17514337
Keywords
Computer science, Data science, Structural bioinformatics, Cluster analysis, Modelling biological systems
References
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- GeneMachine: gene prediction and sequence annotation
- GENIO/scan - EST Guided Identification of Genes in Human Genomic DNA
- Nanomachines: A Roadmap for Realizing the Vision
- Genetics: Principles and Analysis
- Neural networks and genome informatics
- Computational methods in molecular biology
- The Synthesis and Testing of Anti-Cancer Therapeutic Nanodevices
- Non–coding RNA genes and the modern RNA world
- Neural networks for pattern recognition
- Identification of Human Gene Structure Using Linear Discriminant Functions and Dynamic Programming
- Large-scale protein structure modeling of the Saccharomyces cerevisiae genome.
- The multiple sequence alignment problem in biology
- The Gene Identification Problem: An Overview for Developers
- Nucleic Acid Research
- DIALIGN2: Improvement of the segment to segment approach to multiple sequence alignment
- The Next Frontier for Bio- and Cheminformatics Visualization
- Combining hierarchical clustering and self-organizing maps for exploratory analysis of gene expression patterns.
- Large-scale and automated DNA sequence determination.
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