Asaia bogorensis peritonitis identified by 16S ribosomal RNA sequence analysis in a patient receiving peritoneal dialysis

2004 ◽  
Vol 44 (2) ◽  
pp. e15-e17 ◽  
Author(s):  
Richard W Snyder ◽  
Jorg Ruhe ◽  
Sidney Kobrin ◽  
Alan Wasserstein ◽  
Christa Doline ◽  
...  
1996 ◽  
Vol 34 (2) ◽  
pp. 343-348 ◽  
Author(s):  
Kathleen J. Smith ◽  
Henry G. Skelton ◽  
Edward J. Hilyard ◽  
Col Ted Hadfield ◽  
Robert S. Moeller ◽  
...  

1990 ◽  
Vol 136 (1) ◽  
pp. 1-10 ◽  
Author(s):  
K. Tsuji ◽  
H. C. Tsien ◽  
R. S. Hanson ◽  
S. R. DePalma ◽  
R. Scholtz ◽  
...  

1995 ◽  
Vol 17 (4) ◽  
pp. 509-512 ◽  
Author(s):  
Tatjana P. Tourova ◽  
Andrey B. Poltoraus ◽  
Irina A. Lebedeva ◽  
Iraida A. Tsaplina ◽  
Tatjana I. Bogdanova ◽  
...  

2010 ◽  
Vol 50 (5) ◽  
pp. 311-314 ◽  
Author(s):  
Saiko Aiba ◽  
Yuka Watanabe ◽  
Masaaki Odaka ◽  
Toshiki Nakamura ◽  
Koichi Hirata

2002 ◽  
Vol 18 (2) ◽  
pp. 244-250 ◽  
Author(s):  
Z. Zhang ◽  
R. C. Willson ◽  
G. E. Fox

2017 ◽  
Author(s):  
João F Matias Rodrigues ◽  
Thomas SB Schmidt ◽  
Janko Tackmann ◽  
Christian von Mering

AbstractMetagenomic sequencing has become crucial to studying microbial communities, but meaningful taxonomic analysis and inter-comparison of such data are still hampered by technical limitations, between-study design variability and inconsistencies between taxonomies used. Here we present MAPseq, a framework for reference-based rRNA metagenomic analysis that is up to 30% more accurate (F1/2 score) and up to one hundred times faster than existing solutions, providing in a single run multiple taxonomy classifications and hierarchical OTU mappings, for both amplicon and shotgun sequencing strategies, and for datasets of virtually any size. Availability: Source code and binaries are freely available at http://meringlab.org/software/mapseq/


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