Insight into biases and sequencing errors for amplicon sequencing with the Illumina MiSeq platform
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Title
Insight into biases and sequencing errors for amplicon sequencing with the Illumina MiSeq platform
Authors
Keywords
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Journal
NUCLEIC ACIDS RESEARCH
Volume 43, Issue 6, Pages e37-e37
Publisher
Oxford University Press (OUP)
Online
2015-01-14
DOI
10.1093/nar/gku1341
References
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Related references
Note: Only part of the references are listed.- Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing Platform
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- BayesHammer: Bayesian clustering for error correction in single-cell sequencing
- (2013) Sergey I Nikolenko et al. BMC GENOMICS
- Comparative metagenomic and rRNA microbial diversity characterization using archaeal and bacterial synthetic communities
- (2013) Migun Shakya et al. ENVIRONMENTAL MICROBIOLOGY
- A Filtering Method to Generate High Quality Short Reads Using Illumina Paired-End Technology
- (2013) A. Murat Eren et al. PLoS One
- Analysis of high-depth sequence data for studying viral diversity: a comparison of next generation sequencing platforms using Segminator II.
- (2012) John Archer et al. BMC BIOINFORMATICS
- Estimation of sequencing error rates in short reads
- (2012) Xin Victoria et al. BMC BIOINFORMATICS
- PANDAseq: paired-end assembler for illumina sequences
- (2012) Andre P Masella et al. BMC BIOINFORMATICS
- Benchmarking of viral haplotype reconstruction programmes: an overview of the capacities and limitations of currently available programmes
- (2012) M. Schirmer et al. BRIEFINGS IN BIOINFORMATICS
- Identification and correction of systematic error in high-throughput sequence data
- (2011) Frazer Meacham et al. BMC BIOINFORMATICS
- A framework for variation discovery and genotyping using next-generation DNA sequencing data
- (2011) Mark A DePristo et al. NATURE GENETICS
- Sequence-specific error profile of Illumina sequencers
- (2011) Kensuke Nakamura et al. NUCLEIC ACIDS RESEARCH
- Evaluation of genomic high-throughput sequencing data generated on Illumina HiSeq and Genome Analyzer systems
- (2011) André E Minoche et al. GENOME BIOLOGY
- The Sequence Alignment/Map format and SAMtools
- (2009) H. Li et al. BIOINFORMATICS
- Fast and accurate short read alignment with Burrows-Wheeler transform
- (2009) H. Li et al. BIOINFORMATICS
- Improved base calling for the Illumina Genome Analyzer using machine learning strategies
- (2009) Martin Kircher et al. GENOME BIOLOGY
- Substantial biases in ultra-short read data sets from high-throughput DNA sequencing
- (2008) J. C. Dohm et al. NUCLEIC ACIDS RESEARCH
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