Using quality scores and longer reads improves accuracy of Solexa read mapping
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Summary
The RMAP tool, which can map reads having a wide range of lengths and allows base-call quality scores to determine which positions in each read are more important when mapping, indicates that significant gains in Solexa read mapping performance can be achieved by considering the 3' ends of longer reads, and appropriately using the base-call quality scores.
- Type
- article
- Published
- 2008-02-28
- Cited by
- 369
- References
- 17
- Access
- Open access
- OpenAlex
- https://openalex.org/W2072193858
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:268111923
Keywords
Computer science, Reference genome, Upload, DNA microarray, Deep sequencing
References
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Cited by
- High Performance Computing for DNA Sequence Alignment and Assembly
- Reduced Representation Bisulfite Sequencing of Human Neutrophils Reveals Widespread Inter-Individual Epigenetic Variation
- FPGA-based acceleration of the RMAP short read mapping tool
- High definition profiling of mammalian DNA methylation by array capture and single molecule bisulfite sequencing.
- PerM: efficient mapping of short sequencing reads with periodic full sensitive spaced seeds
- Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing
- CLIP-based prediction of mammalian microRNA binding sites
- Fuzzy k-mers and their application to comparative genome assembly
- Computational analysis of ChIP-seq data.
- New Frontiers of Network Analysis in Systems Biology
- Effects of Single-nucleotide Polymorphisms on microRNA-Based Gene Regulation and Their Association With Disease
- Algorithms And Tools For Computational Analysis Of Human Transcriptome Using Rna-Seq
- Detection and quantification of alternative splicing variants using RNA-seq.
- Systems support for genomics computing in cloud environments
- Local assembly and pre-mRNA splicing analyses by high-throughput sequencing data
- Assembly algorithms for next-generation sequence data
- Machine learning and high-performance computing: Infrastructure and algorithms for the genome-scale study of genetic and epigenetic regulatory mechanisms with applications in neuroscience
- Using oligonucleotide signatures to build a system for effective detection of pathogenic bacteria in metagenomic samples
- Grid and high performance computing applied to bioinformatics
- Bioinformatics challenges of high-throughput SNP discovery and utilization in non-model organisms
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