Title
Poster: In silico microarray algorithm: Accurate and fast taxonomic profiling from short read sequences
Abstract
We here propose a novel algorithm that can accurately estimate taxonomic composition of microbial communities from massive amount of short read sequences (60 -- 120 bp). Our accuracy evaluation based on simulated datasets demonstrated that our method achieves much higher accuracies than previously proposed methods including Taxy, Qin's method and RDPClassifier. The source code is freely available under GNU Public Licence (GPL) from http://ism.dna.bio.keio.ac.jp.
Year
DOI
Venue
2012
10.1109/ICCABS.2012.6182660
ICCABS
Keywords
Field
DocType
short read sequence,simulated datasets,accuracy evaluation,taxonomic composition,source code,microbial community,silico microarray algorithm,gnu public licence,taxonomic profiling,novel algorithm,massive amount,higher accuracy,metagenomics,next generation sequencing,bioinformatics,genomics
Data mining,Biology,Source code,Profiling (computer programming),Algorithm,Genomics bioinformatics,Genomics,Metagenomics,Bioinformatics,In silico
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Tomoya Tagami100.34
Tsuyoshi Hachiya2663.64
Yasubumi Sakakibara376962.91