A comparison of common programming languages used in bioinformatics

Mathieu Fourment*, Michael R. Gillings

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)
5 Downloads (Pure)

Abstract

Background: The performance of different programming languages has previously been benchmarked using abstract mathematical algorithms, but not using standard bioinformatics algorithms. We compared the memory usage and speed of execution for three standard bioinformatics methods, implemented in programs using one of six different programming languages. Programs for the Sellers algorithm, the Neighbor-Joining tree construction algorithm and an algorithm for parsing BLAST file outputs were implemented in C, C++, C#, Java, Perl and Python. Results: Implementations in C and C++ were fastest and used the least memory. Programs in these languages generally contained more lines of code. Java and C# appeared to be a compromise between the flexibility of Perl and Python and the fast performance of C and C++. The relative performance of the tested languages did not change from Windows to Linux and no clear evidence of a faster operating system was found. Source code and additional information are available from http://www.bioinformatics.org/benchmark/ Conclusion: This benchmark provides acomparison of six commonly used programming languages under two different operating systems. The overall comparison shows that a developer should choose an appropriate language carefully, taking into account the performance expected and the library availability for each language.

Original languageEnglish
Article number82
Pages (from-to)1-9
Number of pages9
JournalBMC Bioinformatics
Volume9
DOIs
Publication statusPublished - 5 Feb 2008

Bibliographical note

Copyright 2008 Fourment and Gillings; licensee BioMed Central Ltd. Version archived for private and non-commercial use with the permission of the author and according to publisher conditions. For further rights please contact the publisher.

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