Bioinformatics—an introduction for computer scientists

Author:

Cohen Jacques1

Affiliation:

1. Brandeis University, Waltham, MA

Abstract

The article aims to introduce computer scientists to the new field of bioinformatics. This area has arisen from the needs of biologists to utilize and help interpret the vast amounts of data that are constantly being gathered in genomic research---and its more recent counterparts, proteomics and functional genomics. The ultimate goal of bioinformatics is to develop in silico models that will complement in vitro and in vivo biological experiments. The article provides a bird's eye view of the basic concepts in molecular cell biology, outlines the nature of the existing data, and describes the kind of computer algorithms and techniques that are necessary to understand cell behavior. The underlying motivation for many of the bioinformatics approaches is the evolution of organisms and the complexity of working with incomplete and noisy data. The topics covered include: descriptions of the current software especially developed for biologists, computer and mathematical cell models, and areas of computer science that play an important role in bioinformatics.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference79 articles.

1. For interesting graphical gallery of biology consult (downloadable drawings) sponsored by the National Health Museum http://www.accessexcellence.org/AB/GG/. For interesting graphical gallery of biology consult (downloadable drawings) sponsored by the National Health Museum http://www.accessexcellence.org/AB/GG/.

2. A recommended glossary of genetic terms http://www.ornl.gov/TechResources/Human_Genome/publicat/primer2001/glossary.html. A recommended glossary of genetic terms http://www.ornl.gov/TechResources/Human_Genome/publicat/primer2001/glossary.html.

3. NCBI (National Center for Biotechnology Information) http://www.ncbi.nlm.nih.gov. NCBI (National Center for Biotechnology Information) http://www.ncbi.nlm.nih.gov.

4. A summary of interesting sites in bioinformatics is given by the URLs. A summary of interesting sites in bioinformatics is given by the URLs.

5. On line lectures in bioinformatics---Heidelberg http://www.dkfz-heidelberg.de/tbi/bioinfo/Biol/Intro/. On line lectures in bioinformatics---Heidelberg http://www.dkfz-heidelberg.de/tbi/bioinfo/Biol/Intro/.

Cited by 96 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3