Paper Info
Title
Data Mining the Yeast Genome in a Lazy Functional Language
Abstract
Critics of lazy functional languages contend that the languages are only suitable for toy problems and are not used for real systems. We present an application (PolyFARM) for distributed data mining in relational bioinformatics data, written in the lazy functional language Haskell. We describe the problem we wished to solve, the reasons we chose Haskell and relate our experiences. Laziness did cause many problems in controlling heap space usage, but these were solved by a variety of methods. The many advantages of writing software in Haskell outweighed these problems. These included clear expression of algorithms, good support for data structures, abstraction, modularity and generalisation leading to fast prototyping and code reuse, parsing tools, profiling tools, language features such as strong typing and referential transparency, and the support of an enthusiastic Haskell community. PolyFARM is currently in use mining data from the Saccharomyces cerevisiae genome and is freely available for non-commercial use at http://www.aber.ac.uk/compsci/Research/bio/dss/polyfarm/.
Year
Venue
Keywords
2003
PADL
lazy functional language,data mining,enthusiastic haskell community,use mining data,good support,data structure,relational bioinformatics data,yeast genome,non-commercial use,clear expression,saccharomyces cerevisiae genome,functional language
Field
DocType
Volume
Data mining,Programming language,Functional programming,Computer science,Lazy evaluation,Information extraction,Haskell,Strong and weak typing,Parsing,Declarative programming,Code reuse,Distributed computing
Conference
2562
ISSN
ISBN
Citations 
0302-9743
3-540-00389-4
16
PageRank 
References 
Authors
1.14
12
2
Name
Order
Citations
PageRank
Amanda Clare159247.37
Ross D. King21774194.85