Mason – A Read Simulator for Second Generation Sequencing Data
Explore this paper's citation graph
Summary
A read simulator software for Illumina, 454 and Sanger reads that has been written with performance in mind and can sample reads from large genomes.
- Type
- article
- Published
- 2010-10-01
- Cited by
- 256
- References
- 10
- Access
- Open access
- OpenAlex
- https://openalex.org/W26356079
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:55036995
Keywords
Computer science, Software, Sanger sequencing, Source code, Data mining
References
- A Dataset Generator for Whole Genome Shotgun Sequencing
- Accurate Whole Human Genome Sequencing using Reversible Terminator Chemistry
- MetaSim—A Sequencing Simulator for Genomics and Metagenomics
- The Sequence Alignment/Map format and SAMtools
- Genome sequencing in microfabricated high-density picolitre reactors
- Substantial biases in ultra-short read data sets from high-throughput DNA sequencing
- A consistency-based consensus algorithm for de novo and reference-guided sequence assembly of short reads
- Characteristics of 454 pyrosequencing data—enabling realistic simulation with flowsim
- RazerS--fast read mapping with sensitivity control.
- Supplementary Material for “A Novel And Well-Defined Benchmarking Method For Second Generation Read Mapping”
Cited by
- Characteristics of Pyrosequencing Data – Analysis, Methods, and Tools
- PopAlu: population-scale discovery of Alu polymorphisms
- New algorithmic and bioinformatic approaches for the analysis of data from high throughput sequencing. (Algorithmes bio-informatiques pour l'analyse de données de séquençage à haut débit)
- Next-generation sequencing algorithms: from read mapping to variant detection
- Computational methods and graphical models for integrative proteogenomics (Methoden und graphische Modelle für die integrative Proteogenomik)
- A Long Fragment Aligner called ALFALFA
- BitMapper: an efficient all-mapper based on bit-vector computing
- Best practices for evaluating single nucleotide variant calling methods for microbial genomics
- Computational methods for the identification and quantification of microbial organisms in metagenomes
- Haplotype-based variant detection from short-read sequencing
- SNAPR: a bioinformatics pipeline for efficient and accurate RNA-seq alignment and analysis
- AMAS: Optimizing the Partition and Filtration of Adaptive Seeds to Speed up Read Mapping
- MSProGene: integrative proteogenomics beyond six-frames and single nucleotide polymorphisms
- MetaCAA: A clustering-aided methodology for efficient assembly of metagenomic datasets.
- PSIM: pattern-based read simulator for RNA-seq analysis
- Boosting the FM-Index on the GPU: Effective Techniques to Mitigate Random Memory Access
- PopIns: population-scale detection of novel sequence insertions
- Lighter: fast and memory-efficient sequencing error correction without counting
- RAMICS: trainable, high-speed and biologically relevant alignment of high-throughput sequencing reads to coding DNA
- RNA-Seq Read Simulator Using SAM Template
Related papers
- Fast gapped-read alignment with Bowtie 2
- The Sequence Alignment/Map format and SAMtools
- Fast and accurate short read alignment with Burrows–Wheeler transform
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
- Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM
- A fast bit-vector algorithm for approximate string matching based on dynamic programming
- Mapping short DNA sequencing reads and calling variants using mapping quality scores.
- ART: a next-generation sequencing read simulator
- Basic local alignment search tool.
- A novel and well-defined benchmarking method for second generation read mapping