Evidence map›Paper›PMID 26577377›Full record

ArticleRNA (New York, N.Y.)2016

CLIPSeqTools--a novel bioinformatics CLIP-seq analysis suite.

Manolis Maragkakis, Panagiotis Alexiou, Tadashi Nakaya, Zissimos Mourelatos

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

22 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Solid-Support Directional (SSD) RNA-Seq as a Companion Method to CLIP-Seq.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Mobile genomics: tools and techniques for tackling transposons.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Bioinformatic tools for analysis of CLIP ribonucleoprotein data.Wiley interdisciplinary reviews. RNA · 2017
    Review
  19. Article
  20. Article
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

4 authors at 2 institutions in 2 countries.

Manolis MaragkakisDepartment of Pathology and Laboratory Medicine, Division of Neuropathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA PENN Genome Frontiers Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Panagiotis AlexiouDepartment of Pathology and Laboratory Medicine, Division of Neuropathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA PENN Genome Frontiers Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Tadashi NakayaLaboratory of Neuroscience, Graduate School of Pharmaceutical Sciences, Hokkaido University, Sapporo 060-0812, Japan.
Zissimos MourelatosDepartment of Pathology and Laboratory Medicine, Division of Neuropathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA PENN Genome Frontiers Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
University of Pennsylvania · USHokkaido University · JP

Funding

Functional characterization of piRNPsR01GM072777 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI MOURELATOS, ZISSIMOS · 2005 to 2018
$4.7M
NIGMS NIH HHS GM072777NIGMS NIH HHS R01 GM072777
6 · The paper itself

Abstract

Immunoprecipitation of RNA binding proteins (RBPs) after in vivo crosslinking, coupled with sequencing of associated RNA footprints (HITS-CLIP, CLIP-seq), is a method of choice for the identification of RNA targets and binding sites for RBPs. Compared with RNA-seq, CLIP-seq analysis is widely diverse and depending on the RBPs that are analyzed, the approaches vary significantly, necessitating the development of flexible and efficient informatics tools. In this study, we present CLIPSeqTools, a novel, highly flexible computational suite that can perform analysis from raw sequencing data with minimal user input. It contains a wide array of tools to provide an in-depth view of CLIP-seq data sets. It supports extensive customization and promotes improvization, a critical virtue, since CLIP-seq analysis is rarely well defined a priori. To highlight CLIPSeqTools capabilities, we used the suite to analyze Ago-miRNA HITS-CLIP data sets that we prepared from human brains.

Indexed as

Computational BiologySequence Analysis, RNAHumansMicroRNAsMicroRNAsArgonauteCLIP-seqHITS-CLIPmiRNARNA binding protein

Identifiers

PMID26577377
PMCPMC4691824
OpenAlexW2180785263

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.