Bioinformatics Resources | |
| Primer on Molecular Genetics | A very good primer, kept up by the Department of Energy, on Molecular Genetics. This represents the molecular biology side of molecular bioinformatics. |
| JAM: the Biocomputing Survival Guide | This 'Survival' Guide is intended to serve as a cookbook for the casual user of computers in molecular biology. It is not intended to explain science or make the programs' algorithms more transparent. |
| A Bioinformatic Thesaurus | This basic guide discusses some of the more common terms used in bioinformatics. |
| Bioinformatics Resource List at Organelle Genome Megasequencing Program (Montreal) | This server contains lists of research groups, servers, and information sources. |
| Bioinformatics at Parallab | A brief paper discussing some basic tools of bioinformatics research. |
| Bioinformation Page at Duesseldorf | List of resources at other sites. |
| Computational Biology or Bioinformatics References at UCSC | A very thorough list of tools for computational biologists, some with a bit of brief annotation. |
| Internet Skills for Bioinformatics | A basic introduction on how to gear the Internet toward biological research and information exchange. |
| Links to bioinformatics servers on the Web at Bergen | A thorough list of servers, organized by category. |
Artificial IntelligenceArtificial intellence (AI) is the study of how to create computer algorithms that model the process of human thought. | |
| Artificial Intelligence Repository at Carnegie Mellon University | This site was established by Mark Kantrowitz in 1993 to collect files, programs and publications of interest to AI researchers, educators, students, and professionals. |
| TheAI-FAQs | A useful repository of Frequently Asked Questions about AI sub-disciplines and programming languages. |
| The WWW Virtual Library: Artificial Intelligence | Lists research sites, newsgroups, journals, and much more. |
Artificial LifeArtificial life (AL, alife) is a scientific discipline in which researchers study life by creating computer programs that model biological systems. | |
| Artificial Life | This quarterly MIT journal's site includes abstracts, submission information and "NetQ," which allows readers to send questions to authors. Also includes Artificial Life Online, a nifty subsite where you can download alife software and find out about related sites, events, etc. |
| Artificial Life FAQ | A useful introduction to the discipline from Carnegie Mellon. |
| Macintosh Artificial Life Software | Dowload free copies of MacTierra, Firefly, Fractal Growth, etc. |
Artificial Neural NetsArtificial Neural Nets (ANN) are computer models of biological neural networks. | |
| Journal of Intelligent Systems | This British site includes abstracts, news, sumission guidelines, and links to related journals. |
| Neural Network FAQ | A page of Usenet tips and Frequently Asked Questions from comp.ai.neural-nets. |
| NEuroNet | NEuroNet is the European Neural Networks 'Network of Excellence' set up by the European Commission's ESPRIT Division for Basic Research. Site includes lists of researchers, software, news, and an open discussion forum. |
Evolutionary Computation, Genetic Algorithms and Genetic ProgrammingAll these are computer disciplines involved with modelling genetic inheritance and/or biological evolution. | |
| Computational Genetics | This site consists of a small list of Computational Genetics resources. |
| The Hitch-Hiker's Guide to Evolutionary Computation | A gargantuan FAQ from comp.ai.genetic. Includes sections on evolutionary and genetic algorithms, evolution strategies, genetic programming, modeling software, and tons more. |
| Encore, the Electronic Appendix to The Hitch-Hiker's Guide to Evolutionary Computation | On the surface, a somewhat less serious approach to computational methods used in molecular evolution. However, the information presented is very useful and sobering in its complexity. |
Expert SystemsExpert systems (ES), also known as knowledge-based systems (KBS), are computer programs designed to simulate the problem-solving behavior of human experts within very narrow domains or scientific disciplines. | |
| Central Laboratory for Agricultural Expert Systems (CLAES) | This Egyptian site contains good introductions to expert systems from an agricultural standpoint. |
| Expert System Shells FAQ | An extensive FAQ written by Mark Kantrowitz. Includes long bibliography, updated in 1995. This document is aimed at people already in the field and is practically unintelligible for laypersons. |
| Introduction to Artificial Intelligence and Expert Systems | This 1994 document provides a pretty good introduction to computer reasoning, databases, etc. |
Machine LearningThis is the study of how to create computer algorithms that will learn as they process data and modify their activity based on that learning (as opposed to traditional computer algorithms whose methods of processing data will not change unless the programmer explicitly changes the algorithm). This discipline is a division of Artificial Intelligence. | |
| Machine Learning Archive Sites | A short list of annotated resources. |
| Online Machine Learning Resources | Maintained by the Machine Learning Group at the Austrian Research Institute for Artificial Intelligence. Long lists of sites dealing with conceptual clustering, data mining, logic programming, etc. |
| Oxford University Machine Learning Group | Site is mainly devoted to inductive logic and includes info on researchers, projects and modeling methods. |
Simulated AnnealingIn the biosciences, this refers to using computers to model how complementary strands of DNA or RNA will link via hydrogen bonds to form a double-stranded molecule, or how a protein sequence will fold in three-dimensional space. | |
| Molecular Origami | A page written for informed laypersons that explains the importance of protein folding. |
| Simulated Annealing Via Restrained Molecular Dynamics | A technical hypertext document intended for lab researchers. |
| Simulated Annealing Tech reports | Also intended for lab researchers; a list of abstracts that link to zipped PostScript versions of the entire papers. |
Statistics and Probability CalculusThe mathematics of determining the probability of events. | |
| Net Resources for Learning Statistics | Data analysis, basic probability, resampling and more from GraphPad Software. Be sure to check out their pages on nonlinear regression and ANOVA on their home page. |
| The WWW Virtual Library: Biostatistics | Huge list of links relating to this far-reaching subject. |
von Neumann ComputingThis is the standard model of computing; it's based on the parallel processing model designed by mathematician John von Neumann. | |
| The von Neumann Machine and the Symbolic Paradigm | This British page explains the basics of how von Neumann computers work; later pages deal with AI and the construction of neural nets. |
| The von Neumann Model | Another explanation from a slightly different angle. |
| Designing and Building Parallel Programs | An entire hypertextbook that contains excellent information about computer system architecture. Slow reading for non-computer scientists, but worthwhile. |
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