{"title":"Motif detection in protein sequences","authors":"Yuan Gao, K. Mathee, G. Narasimhan, Xuning Wang","doi":"10.1109/SPIRE.1999.796579","DOIUrl":"https://doi.org/10.1109/SPIRE.1999.796579","url":null,"abstract":"We use methods from data mining and knowledge discovery to design an algorithm for detecting motifs in protein sequences. Based on this approach, we have implemented a program called \"GYM\". The Helix-Turn-Helix Motif was used as a model system on which to test our program. The program was also extended to detect Homeodomain motifs. The detection results for the two motifs compare favorably with existing programs. In addition, the GYM program provides a lot of useful information about a given protein sequence.","PeriodicalId":131279,"journal":{"name":"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128317183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A method of describing document contents through topic selection","authors":"Alexander Gelbukh, G. Sidorov, A. Guzmán-Arenas","doi":"10.1109/SPIRE.1999.796580","DOIUrl":"https://doi.org/10.1109/SPIRE.1999.796580","url":null,"abstract":"Given a large hierarchical dictionary of concepts, the task of selection of the concepts that describe the contents of a given document is considered. The problem consists in proper handling of the top-level concepts in the hierarchy. As a representation of the document, a histogram of the topics with their respective contribution in the document is used. The contribution is determined by comparison of the document with the \"ideal\" document for each topic in the dictionary. The \"ideal\" document for a concept is one that contains only the keywords belonging to this concept, in proportion to their occurrences in the training corpus. A fast algorithm of comparison for some types of metrics is proposed. The application of the method in a system classifier is discussed.","PeriodicalId":131279,"journal":{"name":"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133526365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Linear time sorting of skewed distributions","authors":"E. Moura, G. Navarro, N. Ziviani","doi":"10.1109/SPIRE.1999.796588","DOIUrl":"https://doi.org/10.1109/SPIRE.1999.796588","url":null,"abstract":"The article presents an efficient linear average time algorithm to sort lists of integers that follow skewed distributions. It also studies a particular case where the list follows Zipf's distribution, and presents an example application where the algorithm is used to reduce the time to build word-based Huffman codes.","PeriodicalId":131279,"journal":{"name":"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126756265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An efficient uniform-cost normalized edit distance algorithm","authors":"Abdullah N. Arslan, Ö. Eğecioğlu","doi":"10.1109/SPIRE.1999.796572","DOIUrl":"https://doi.org/10.1109/SPIRE.1999.796572","url":null,"abstract":"A common model for computing the similarity of two strings X and Y of lengths m, and n respectively with m/spl ges/n, is to transform X into Y through a sequence of three types of edit operations: insertion, deletion, and substitution. The model assumes a given cost function which assigns a non-negative real weight to each edit operation. The amortized weight for a given edit sequence is the ratio of its weight to its length, and the minimum of this ratio over all edit sequences is the normalized edit distance. Existing algorithms for normalized edit distance computation with proven complexity bounds require O(mn/sup 2/) time in the worst-case. We give an O(mn log n)-time algorithm for the problem when the cost function is uniform, i.e., the weight of each edit operation is constant within the same type, except substitutions can have different weights depending on whether they are matching or non-matching.","PeriodicalId":131279,"journal":{"name":"6th International Symposium on String Processing and Information Retrieval. 5th International Workshop on Groupware (Cat. No.PR00268)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133101763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}