TY - GEN
T1 - Poster
T2 - 2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012
AU - Tagami, Tomoya
AU - Hachiya, Tsuyoshi
AU - Sakakibara, Yasubumi
PY - 2012/5/8
Y1 - 2012/5/8
N2 - 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.
AB - 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.
KW - metagenomics
KW - microbial community
KW - next-generation sequencers
KW - taxonomic profiling
UR - http://www.scopus.com/inward/record.url?scp=84860523065&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860523065&partnerID=8YFLogxK
U2 - 10.1109/ICCABS.2012.6182660
DO - 10.1109/ICCABS.2012.6182660
M3 - Conference contribution
AN - SCOPUS:84860523065
SN - 9781467313216
T3 - 2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012
BT - 2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2012
Y2 - 23 February 2012 through 25 February 2012
ER -