@inproceedings{0f815505c43146cb8bcaeb527ffcc590,
title = "Genome analysis: Pattern search in biological macromolecules",
abstract = "Biological sequence data analysis has developed into an inevitable tool for macromolecular biology, key to any detailed understanding of the living cell. A brief survey on the biological macromolecules and their function is given. Sequence data analysis is introduced as a basic tool for the experimental bench biologist. So far, most queries for such analyses are issued on flat files and static indices. We discuss position tree structures and their potential in sequence data analysis. The hash position tree is introduced as a persistent, dynamic data structure for pattern searches in large sequence databases in biology.",
author = "Mewes, {H. W.} and K. Heumann",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1995.; 6th Annual Symposium on Combinatorial Pattern Matching, CPM 1995 ; Conference date: 05-07-1995 Through 07-07-1995",
year = "1995",
doi = "10.1007/3-540-60044-2_48",
language = "English",
isbn = "3540600442",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "261--285",
editor = "Zvi Galil and Esko Ukkonen",
booktitle = "Combinatorial Pattern Matching - 6th Annual Symposium, CPM 1995, Proceedings",
}