Evaluation of genomic high-throughput sequencing data generated on Illumina HiSeq and Genome Analyzer systems
نویسندگان
چکیده
منابع مشابه
A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis
During the last 3 years, a number of approaches for the normalization of RNA sequencing data have emerged in the literature, differing both in the type of bias adjustment and in the statistical strategy adopted. However, as data continue to accumulate, there has been no clear consensus on the appropriate normalization method to be used or the impact of a chosen method on the downstream analysis...
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BACKGROUND Advances in sequencing technologies and bioinformatics have made the analysis of microbial communities almost routine. Nonetheless, the need remains to improve on the techniques used for gathering such data, including increasing throughput while lowering cost and benchmarking the techniques so that potential sources of bias can be better characterized. METHODS We present a triple-i...
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Traditional DNA sequencing methods are inefficient, lack the ability to discern the least abundant viral sequences, and ineffective for determining the extent of variability in viral populations. Here, populations of single-stranded DNA plant begomoviral genomes and their associated beta- and alpha-satellite molecules (virus-satellite complexes) (genus, Begomovirus; family, Geminiviridae) were ...
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SUMMARY PIQA is a quality analysis pipeline designed to examine genomic reads produced by Next Generation Sequencing technology (Illumina G1 Genome Analyzer). A short statistical summary, as well as tile-by-tile and cycle-by-cycle graphical representation of clusters density, quality scores and nucleotide frequencies allow easy identification of various technical problems including defective ti...
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ژورنال
عنوان ژورنال: Genome Biology
سال: 2011
ISSN: 1465-6906
DOI: 10.1186/gb-2011-12-11-r112