Streaming fragment assignment for real-time analysis of sequencing experiments
Adam Roberts,Lior Pachter +1 more
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TLDR
eXpress is a software package for efficient probabilistic assignment of ambiguously mapping sequenced fragments that can determine abundances of sequenced molecules in real time and can be applied to ChIP-seq, metagenomics and other large-scale sequencing data.Abstract:
We present eXpress, a software package for efficient probabilistic assignment of ambiguously mapping sequenced fragments. eXpress uses a streaming algorithm with linear run time and constant memory use. It can determine abundances of sequenced molecules in real time and can be applied to ChIP-seq, metagenomics and other large-scale sequencing data. We demonstrate its use on RNA-seq data and show that eXpress achieves greater efficiency than other quantification methods.read more
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StringTie enables improved reconstruction of a transcriptome from RNA-seq reads
Mihaela Pertea,Geo Pertea,Corina Antonescu,Tsung Cheng Chang,Joshua T. Mendell,Steven L. Salzberg +5 more
TL;DR: StringTie, a computational method that applies a network flow algorithm originally developed in optimization theory, together with optional de novo assembly, to assemble these complex data sets into transcripts produces more complete and accurate reconstructions of genes and better estimates of expression levels.
Journal ArticleDOI
Near-optimal probabilistic RNA-seq quantification
TL;DR: Kallisto pseudoaligns reads to a reference, producing a list of transcripts that are compatible with each read while avoiding alignment of individual bases, which removes a major computational bottleneck in RNA-seq analysis.
Journal ArticleDOI
De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis
Brian J. Haas,Alexie Papanicolaou,Moran Yassour,Moran Yassour,Manfred Grabherr,Philip D. Blood,Joshua C. Bowden,M. B. Couger,David Eccles,Bo Li,Matthias Lieber,Matthew D. MacManes,Michael Ott,Joshua Orvis,Nathalie Pochet,Nathalie Pochet,Francesco Strozzi,Nathan T. Weeks,Rick Westerman,Thomas William,Colin N. Dewey,Robert Henschel,Richard D. LeDuc,Nir Friedman,Aviv Regev +24 more
TL;DR: This protocol provides a workflow for genome-independent transcriptome analysis leveraging the Trinity platform and presents Trinity-supported companion utilities for downstream applications, including RSEM for transcript abundance estimation, R/Bioconductor packages for identifying differentially expressed transcripts across samples and approaches to identify protein-coding genes.
Journal ArticleDOI
Salmon provides fast and bias-aware quantification of transcript expression
TL;DR: Salmon is the first transcriptome-wide quantifier to correct for fragment GC-content bias, which substantially improves the accuracy of abundance estimates and the sensitivity of subsequent differential expression analysis.
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References
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Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
TL;DR: Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches and can be used simultaneously to achieve even greater alignment speeds.
Journal ArticleDOI
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Bo Li,Colin N. Dewey +1 more
TL;DR: It is shown that accurate gene-level abundance estimates are best obtained with large numbers of short single-end reads, and estimates of the relative frequencies of isoforms within single genes may be improved through the use of paired- end reads, depending on the number of possible splice forms for each gene.
Journal ArticleDOI
Differential expression analysis for sequence count data.
Simon Anders,Wolfgang Huber +1 more
TL;DR: A method based on the negative binomial distribution, with variance and mean linked by local regression, is proposed and an implementation, DESeq, as an R/Bioconductor package is presented.
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Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
Cole Trapnell,Cole Trapnell,Brian A. Williams,Geo Pertea,Ali Mortazavi,Gordon Kwan,Marijke J. van Baren,Steven L. Salzberg,Barbara J. Wold,Lior Pachter +9 more
TL;DR: The results suggest that Cufflinks can illuminate the substantial regulatory flexibility and complexity in even this well-studied model of muscle development and that it can improve transcriptome-based genome annotation.
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TL;DR: Assessment of medical technology in the context of commercialization with Bioentrepreneur course, which addresses many issues unique to biomedical products.
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