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Gene Discovery in DNA Sequences
November/December 1999 (vol. 14 no. 6)
pp. 44-48
| ASCII Text | x | ||
| Steven L. Salzberg, "Gene Discovery in DNA Sequences," IEEE Intelligent Systems, vol. 14, no. 6, pp. 44-48, November/December, 1999. | |||
| BibTex | x | ||
| @article{ 10.1109/5254.809567, author = {Steven L. Salzberg}, title = {Gene Discovery in DNA Sequences}, journal ={IEEE Intelligent Systems}, volume = {14}, number = {6}, issn = {1094-7167}, year = {1999}, pages = {44-48}, doi = {http://doi.ieeecomputersociety.org/10.1109/5254.809567}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Gene Discovery in DNA Sequences IS - 6 SN - 1094-7167 SP44 EP48 EPD - 44-48 A1 - Steven L. Salzberg, PY - 1999 KW - genomics KW - machine learning KW - data mining KW - Markov models KW - DNA VL - 14 JA - IEEE Intelligent Systems ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/5254.809567
The new science of genomics offers tremendous challenges and opportunities for computational scientists. Advances in biotechnology have produced enormous volumes of information about the DNA sequences and proteins of many different organisms, ranging from the smallest bacteria to humans. The existence of these sequences has spurred research and development of new computational tools for making scientific discoveries in genomic data, but the rate of data generation is outpacing scientists' ability to analyze the data. The author describes some of the latest computational techniques used to solve the gene-finding problem, one of the most pressing problems involved in DNA sequence analysis.
Index Terms:
genomics, machine learning, data mining, Markov models, DNA
Citation:
Steven L. Salzberg, "Gene Discovery in DNA Sequences," IEEE Intelligent Systems, vol. 14, no. 6, pp. 44-48, Nov.-Dec. 1999, doi:10.1109/5254.809567
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