SOLiD DNA sequences are typically analyzed using a reference genome, while they are not recommended for de novo assembly of genomes or transcriptomes. This is mainly due to the difficulty in translating the SOLiD color-space data into normal base-space sequences. In fact, the nature of color-space is such that any misinterpreted color leads to a chain of further translation errors, producing totally wrong results. Here we describe SATRAP, a computer program designed to efficiently translate de novo assembled color-space sequences into a base-space format. The program was tested and validated using simulated and real transcriptomic data; its modularity allows an easy integration into more complex pipelines, such as Oases for RNA-seq de novo assembly. SATRAP is available at http://satrap.cribi.unipd.it, either as a multi-step pipeline incorporating several tools for RNA-seq assembly or as an individual module for use with the Oases package.

SATRAP: SOLiD Assembler TRAnslation Program

VITULO, Nicola;
2015-01-01

Abstract

SOLiD DNA sequences are typically analyzed using a reference genome, while they are not recommended for de novo assembly of genomes or transcriptomes. This is mainly due to the difficulty in translating the SOLiD color-space data into normal base-space sequences. In fact, the nature of color-space is such that any misinterpreted color leads to a chain of further translation errors, producing totally wrong results. Here we describe SATRAP, a computer program designed to efficiently translate de novo assembled color-space sequences into a base-space format. The program was tested and validated using simulated and real transcriptomic data; its modularity allows an easy integration into more complex pipelines, such as Oases for RNA-seq de novo assembly. SATRAP is available at http://satrap.cribi.unipd.it, either as a multi-step pipeline incorporating several tools for RNA-seq assembly or as an individual module for use with the Oases package.
Algorithms; High-Throughput Nucleotide Sequencing; Sequence Analysis, RNA; Computer Simulation; Software; Transcriptome
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/951758
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