Next Article in Journal
Machine Learning: A Crucial Tool for Sensor Design
Previous Article in Journal
A Review of Virtual Sensing Algorithms for Active Noise Control
Algorithms 2008, 1(2), 100-129; doi:10.3390/a1020100
Review

Mathematical Programming in Computational Biology: an Annotated Bibliography

Received: 16 September 2008; in revised form: 3 October 2008 / Accepted: 20 November 2008 / Published: 24 November 2008
Download PDF [287 KB, uploaded 24 November 2008]
Abstract: The field of computational biology has experienced a tremendous growth in the past 15 years. In this bibliography, we survey some of the most significant contributions that were made to the field and which employ mathematical programming techniques, while giving a broad overview of application areas of modern computational molecular biology. The areas include sequence analysis, microarrays, protein structure and function, haplotyping and evolutionary distances.
Keywords: Mathematical Programming; Integer Programming; Linear Programming; Computational Biology; Bioinformatics; Sequencing; Haplotyping; Protein Structures Mathematical Programming; Integer Programming; Linear Programming; Computational Biology; Bioinformatics; Sequencing; Haplotyping; Protein Structures
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Lancia, G. Mathematical Programming in Computational Biology: an Annotated Bibliography. Algorithms 2008, 1, 100-129.

AMA Style

Lancia G. Mathematical Programming in Computational Biology: an Annotated Bibliography. Algorithms. 2008; 1(2):100-129.

Chicago/Turabian Style

Lancia, Giuseppe. 2008. "Mathematical Programming in Computational Biology: an Annotated Bibliography." Algorithms 1, no. 2: 100-129.


Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert