Improved data-driven likelihood factorizations for transcript abundance estimation.

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Improved data-driven likelihood factorizations for transcript abundance estimation.

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2017年論文

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2017年論文

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Improved data-driven likelihood factorizations for transcript abundance estimation.

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Improved data-driven likelihood factorizations for transcript abundance estimation.

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Improved data-driven likelihood factorizations for transcript abundance estimation.

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Improved data-driven likelihood factorizations for transcript abundance estimation.

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Improved data-driven likelihood factorizations for transcript abundance estimation.

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Improved data-driven likelihood factorizations for transcript abundance estimation.

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P1476

Improved data-driven likelihood factorizations for transcript abundance estimation.

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P2093

Fatemeh Almodaresi

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Mohsen Zakeri

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Rob Patro

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P2860

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

TIGAR: transcript isoform abundance estimation method with gapped alignment of RNA-Seq data by variational Bayesian inference.

Fast and accurate approximate inference of transcript expression from RNA-seq data.

Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms

Estimation of alternative splicing isoform frequencies from RNA-Seq data

Identifying differentially expressed transcripts from RNA-seq data with biological variation.

Transcriptome and genome sequencing uncovers functional variation in humans

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium.

Near-optimal probabilistic RNA-seq quantification.

P304

i142-i151

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P31

scholarly article

P356

10.1093/BIOINFORMATICS/BTX262

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English

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P478

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P50

Avi Srivastava

P577

2017-07-01T00:00:00Z

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P698

28881996

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P932

5870700

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