TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets

Autor:	Geo Pertea, Razvan Sultana, Xiaoqiu Huang, Babak Parvizi, Feng Liang, Foo Cheung, Yuandan Lee, Jennifer Tsai, Joseph White, Valentin Antonescu, Svetlana Karamycheva, John Quackenbush
Rok vydání:	2003
Předmět:	Statistics and Probability Computer science Sequence analysis Information Storage and Retrieval Sequence Homology Computational biology computer.software_genre Biochemistry Similarity (network science) Consensus sequence Cluster Analysis Software system Cluster analysis Molecular Biology Gene Expressed Sequence Tags Expressed sequence tag Gene Expression Profiling Sequence Analysis DNA Pipeline (software) Computer Science Applications Computational Mathematics ComputingMethodologies_PATTERNRECOGNITION Sequence homology Gene Expression Regulation Computational Theory and Mathematics Nucleic acid Database Management Systems Data mining Databases Nucleic Acid Sequence Alignment computer Software
Zdroj:	Bioinformatics. 19:651-652
ISSN:	1367-4811 1367-4803
DOI:	10.1093/bioinformatics/btg034
Popis:	TGICL is a pipeline for analysis of large Expressed Sequence Tags (EST) and mRNA databases in which the sequences are first clustered based on pairwise sequence similarity, and then assembled by individual clusters (optionally with quality values) to produce longer, more complete consensus sequences. The system can run on multi-CPU architectures including SMP and PVM. Availability: http://www.tigr.org/tdb/tgi/software/ Contact: johnq@tigr.org; johnq@tigr.org * To whom correspondence should be addressed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1d16182d0dbd0fa6ca5c7878ea3536b https://doi.org/10.1093/bioinformatics/btg034 Zobrazit plný text záznamu