Literature DB >> 28203700

Threshold-seq: a tool for determining the threshold in short RNA-seq datasets.

Rogan Magee1, Phillipe Loher1, Eric Londin1, Isidore Rigoutsos1.   

Abstract

SUMMARY: We present 'Threshold-seq,' a new approach for determining thresholds in deep-sequencing datasets of short RNA transcripts. Threshold-seq addresses the critical question of how many reads need to support a short RNA molecule in a given dataset before it can be considered different from 'background.' The proposed scheme is easy to implement and incorporate into existing pipelines.
AVAILABILITY AND IMPLEMENTATION: Source code of Threshold-seq is freely available as an R package at: http://cm.jefferson.edu/threshold-seq/. CONTACT: isidore.rigoutsos@jefferson.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2017. Published by Oxford University Press.

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Year:  2017        PMID: 28203700      PMCID: PMC5870860          DOI: 10.1093/bioinformatics/btx073

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  7 in total

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  7 in total
  7 in total

1.  Race Disparities in the Contribution of miRNA Isoforms and tRNA-Derived Fragments to Triple-Negative Breast Cancer.

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2.  IsomiRs and tRNA-derived fragments are associated with metastasis and patient survival in uveal melanoma.

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3.  tRNA Fragments Show Intertwining with mRNAs of Specific Repeat Content and Have Links to Disparities.

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4.  Assessment of isomiR Discrimination Using Commercial qPCR Methods.

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5.  Profiles of miRNA Isoforms and tRNA Fragments in Prostate Cancer.

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6.  Ribosomal RNA fragmentation into short RNAs (rRFs) is modulated in a sex- and population of origin-specific manner.

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  7 in total

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