Evidence map›Paper›PMID 25515586›Full record

ReviewWiley interdisciplinary reviews. RNA

Computational challenges, tools, and resources for analyzing co- and post-transcriptional events in high throughput.

Emad Bahrami-Samani, Dat T Vo, Patricia Rosa de Araujo, Christine Vogel, Andrew D Smith, Luiz O F Penalva, Philip J Uren

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. RNA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Comprehensive identification of translation start sites by tetracycline-inhibited ribosome profiling.DNA research : an international journal for rapid publication of reports on genes and genomes · 2016
    Article
  7. Review
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Emad Bahrami-SamaniMolecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA, USA.
Dat T Vo
Patricia Rosa de Araujo
Christine Vogel
Andrew D Smith
Luiz O F Penalva
Philip J Uren

Funding

Computational Methods for Deep Sequencing Based RBP Binding Motif CharacterizatioR01HG006015 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENALVA, LUIZ OTAVIO, SMITH, ANDREW DAVID · 2011 to 2017
$2.6M
Robust statistical approaches for decoding protein and mRNA expression regulationR01GM113237 · NIGMS · NEW YORK UNIVERSITY · PI VOGEL, CHRISTINE · 2014 to 2017
$1.5M
NHGRI NIH HHS R01 HG006015NHGRI NIH HHS R01HG006015NIGMS NIH HHS R01 GM113237
6 · The paper itself

Abstract

Co- and post-transcriptional regulation of gene expression is complex and multifaceted, spanning the complete RNA lifecycle from genesis to decay. High-throughput profiling of the constituent events and processes is achieved through a range of technologies that continue to expand and evolve. Fully leveraging the resulting data is nontrivial, and requires the use of computational methods and tools carefully crafted for specific data sources and often intended to probe particular biological processes. Drawing upon databases of information pre-compiled by other researchers can further elevate analyses. Within this review, we describe the major co- and post-transcriptional events in the RNA lifecycle that are amenable to high-throughput profiling. We place specific emphasis on the analysis of the resulting data, in particular the computational tools and resources available, as well as looking toward future challenges that remain to be addressed.

Indexed as

Gene Expression RegulationAlternative SplicingComputational BiologyDatabases, GeneticGene Expression ProfilingProtein BiosynthesisRNARNA-Binding ProteinsRNA StabilitySubstrate SpecificityRNARNA-Binding Proteins

Identifiers

PMID25515586
PMCPMC4397117

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.