Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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RNA-seq transcript assembly evaluation


ABSTRACT: To assess the performance of computational methods for exon identification, transcript reconstruction and expression level quantification from RNA-seq data, 24 protocol variants of 14 independent software programs (AUGUSTUS, Cufflinks, Exonerate, GSTRUCT, iReckon, mGene, mTim, NextGeneid, Oases, SLIDE, Transomics, Trembly, Tromer and Velvet) were evaluated against transcriptome data from human cells and two model organisms. The following supplementary data files are also available from ArrayExpress at http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1730/files/ : (1) Reference annotation used in the study, (2) Alignments used for reference annotation, (3) Predicted exons and transcript models submitted for evaluation and (4) NanoString nCounter probes and detection counts. Each file is described in greater detail in file http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1730/files/E-MTAB-1730_supplemental_files.xlsx .

INSTRUMENT(S): Illumina Genome Analyzer IIx

ORGANISM(S): Drosophila melanogaster

SUBMITTER: Paul Bertone 

PROVIDER: E-MTAB-1730 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications


High-throughput RNA sequencing is an increasingly accessible method for studying gene structure and activity on a genome-wide scale. A critical step in RNA-seq data analysis is the alignment of partial transcript reads to a reference genome sequence. To assess the performance of current mapping software, we invited developers of RNA-seq aligners to process four large human and mouse RNA-seq data sets. In total, we compared 26 mapping protocols based on 11 programs and pipelines and found major p  ...[more]

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