341 related articles for article (PubMed ID: 28025198)
1. DACE: a scalable DP-means algorithm for clustering extremely large sequence data.
Jiang L; Dong Y; Chen N; Chen T
Bioinformatics; 2017 Mar; 33(6):834-842. PubMed ID: 28025198
[TBL] [Abstract][Full Text] [Related]
2. Updating the 97% identity threshold for 16S ribosomal RNA OTUs.
Edgar RC
Bioinformatics; 2018 Jul; 34(14):2371-2375. PubMed ID: 29506021
[TBL] [Abstract][Full Text] [Related]
3. MATAM: reconstruction of phylogenetic marker genes from short sequencing reads in metagenomes.
Pericard P; Dufresne Y; Couderc L; Blanquart S; Touzet H
Bioinformatics; 2018 Feb; 34(4):585-591. PubMed ID: 29040406
[TBL] [Abstract][Full Text] [Related]
4. COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge.
Lu YY; Chen T; Fuhrman JA; Sun F
Bioinformatics; 2017 Mar; 33(6):791-798. PubMed ID: 27256312
[TBL] [Abstract][Full Text] [Related]
5. ViraPipe: scalable parallel pipeline for viral metagenome analysis from next generation sequencing reads.
Maarala AI; Bzhalava Z; Dillner J; Heljanko K; Bzhalava D
Bioinformatics; 2018 Mar; 34(6):928-935. PubMed ID: 29106455
[TBL] [Abstract][Full Text] [Related]
6. A comprehensive evaluation of the sl1p pipeline for 16S rRNA gene sequencing analysis.
Whelan FJ; Surette MG
Microbiome; 2017 Aug; 5(1):100. PubMed ID: 28807046
[TBL] [Abstract][Full Text] [Related]
7. CLUSTOM-CLOUD: In-Memory Data Grid-Based Software for Clustering 16S rRNA Sequence Data in the Cloud Environment.
Oh J; Choi CH; Park MK; Kim BK; Hwang K; Lee SH; Hong SG; Nasir A; Cho WS; Kim KM
PLoS One; 2016; 11(3):e0151064. PubMed ID: 26954507
[TBL] [Abstract][Full Text] [Related]
8. DBH: A de Bruijn graph-based heuristic method for clustering large-scale 16S rRNA sequences into OTUs.
Wei ZG; Zhang SW
J Theor Biol; 2017 Jul; 425():80-87. PubMed ID: 28454900
[TBL] [Abstract][Full Text] [Related]
9. Metagenome sequence clustering with hash-based canopies.
Rahman MA; LaPierre N; Rangwala H; Barbara D
J Bioinform Comput Biol; 2017 Dec; 15(6):1740006. PubMed ID: 29113561
[TBL] [Abstract][Full Text] [Related]
10. Improved OTU-picking using long-read 16S rRNA gene amplicon sequencing and generic hierarchical clustering.
Franzén O; Hu J; Bao X; Itzkowitz SH; Peter I; Bashir A
Microbiome; 2015 Oct; 3():43. PubMed ID: 26434730
[TBL] [Abstract][Full Text] [Related]
11. Large-scale 16S gene assembly using metagenomics shotgun sequences.
Zeng F; Wang Z; Wang Y; Zhou J; Chen T
Bioinformatics; 2017 May; 33(10):1447-1456. PubMed ID: 28158392
[TBL] [Abstract][Full Text] [Related]
12. A critical analysis of state-of-the-art metagenomics OTU clustering algorithms.
Bhat AH; Prabhu P; Balakrishnan K
J Biosci; 2019 Dec; 44(6):. PubMed ID: 31894129
[TBL] [Abstract][Full Text] [Related]
13. IPED: a highly efficient denoising tool for Illumina MiSeq Paired-end 16S rRNA gene amplicon sequencing data.
Mysara M; Leys N; Raes J; Monsieurs P
BMC Bioinformatics; 2016 Apr; 17(1):192. PubMed ID: 27130479
[TBL] [Abstract][Full Text] [Related]
14. Compression of genomic sequencing reads via hash-based reordering: algorithm and analysis.
Chandak S; Tatwawadi K; Weissman T
Bioinformatics; 2018 Feb; 34(4):558-567. PubMed ID: 29444237
[TBL] [Abstract][Full Text] [Related]
15. Bartender: a fast and accurate clustering algorithm to count barcode reads.
Zhao L; Liu Z; Levy SF; Wu S
Bioinformatics; 2018 Mar; 34(5):739-747. PubMed ID: 29069318
[TBL] [Abstract][Full Text] [Related]
16. Analyzing large scale genomic data on the cloud with Sparkhit.
Huang L; Krüger J; Sczyrba A
Bioinformatics; 2018 May; 34(9):1457-1465. PubMed ID: 29253074
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of 16S rRNA amplicon sequencing using two next-generation sequencing technologies for phylogenetic analysis of the rumen bacterial community in steers.
Myer PR; Kim M; Freetly HC; Smith TPL
J Microbiol Methods; 2016 Aug; 127():132-140. PubMed ID: 27282101
[TBL] [Abstract][Full Text] [Related]
18. Large scale microbiome profiling in the cloud.
Valdes C; Stebliankin V; Narasimhan G
Bioinformatics; 2019 Jul; 35(14):i13-i22. PubMed ID: 31510682
[TBL] [Abstract][Full Text] [Related]
19. MetaSpark: a spark-based distributed processing tool to recruit metagenomic reads to reference genomes.
Zhou W; Li R; Yuan S; Liu C; Yao S; Luo J; Niu B
Bioinformatics; 2017 Apr; 33(7):1090-1092. PubMed ID: 28065898
[TBL] [Abstract][Full Text] [Related]
20. A comprehensive method for amplicon-based and metagenomic characterization of viruses, bacteria, and eukaryotes in freshwater samples.
Uyaguari-Diaz MI; Chan M; Chaban BL; Croxen MA; Finke JF; Hill JE; Peabody MA; Van Rossum T; Suttle CA; Brinkman FS; Isaac-Renton J; Prystajecky NA; Tang P
Microbiome; 2016 Jul; 4(1):20. PubMed ID: 27391119
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]