Compressed q-gram indexing for highly repetitive biological sequences
Keywords: search, storage, sequences, schemes, bioinformatics, individual, spreadsheets, techniques, novel, biological, fast, Sub-strings, Q-grams
Abstract
The study of compressed storage schemes for highly repetitive sequence collections has been recently boosted by the availability of cheaper sequencing technologies and the flood of data they promise to generate. Such a storage scheme may rang e from the simple goal of retrieving whole individual sequences to the more advanced one of providing fast searches in the collection. In this paper we study alternatives to implement a particularly popular index, namely, the one able of finding all the positions in the collection of substrings of fixed length (q-grams). We introduce two novel techniques and show they constitute practical alternatives to handle this scenario. They excel particularly in two cases: when q is small (up to 6), and when the collection is extremely repetitive (less than 0.01% mutations). © 2010 IEEE.
Más información
Título de la Revista: | 1604-2004: SUPERNOVAE AS COSMOLOGICAL LIGHTHOUSES |
Editorial: | ASTRONOMICAL SOC PACIFIC |
Fecha de publicación: | 2010 |
Página de inicio: | 86 |
Página final: | 91 |
URL: | http://www.scopus.com/inward/record.url?eid=2-s2.0-77956153823&partnerID=q2rCbXpz |