Evidence map›Paper›PMID 29733404›Full record

ArticleNucleic acids research2018

SPAR: small RNA-seq portal for analysis of sequencing experiments.

Pavel P Kuksa, Alexandre Amlie-Wolf, Živadin Katanic, Otto Valladares, Li-San Wang, Yuk Yee Leung

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Identification and Quantification of Small RNAs.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

6 authors.

Pavel P KuksaPenn Neurodegeneration Genomics Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Alexandre Amlie-WolfPenn Neurodegeneration Genomics Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Živadin KatanicPenn Neurodegeneration Genomics Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Otto ValladaresPenn Neurodegeneration Genomics Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Li-San WangPenn Neurodegeneration Genomics Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yuk Yee LeungPenn Neurodegeneration Genomics Center, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

THE NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITEU24AG041689 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LI-SAN WANG · 2012 to 2026
$42.3M
Training in Alzheimer’s and Age-Related Neurodegenerative DiseasesT32AG000255 · NIA · UNIVERSITY OF PENNSYLVANIA · PI ALICE S CHEN-PLOTKIN, VIRGINIA M LEE · 1997 to 2026
$12.5M
Computational genome-wide RNA profiling using next-generation sequencingR01GM099962 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI WANG, LI-SAN · 2012 to 2016
$1.5M
NIA NIH HHS T32 AG000255NIA NIH HHS U24 AG041689NIGMS NIH HHS R01 GM099962
6 · The paper itself

Abstract

The introduction of new high-throughput small RNA sequencing protocols that generate large-scale genomics datasets along with increasing evidence of the significant regulatory roles of small non-coding RNAs (sncRNAs) have highlighted the urgent need for tools to analyze and interpret large amounts of small RNA sequencing data. However, it remains challenging to systematically and comprehensively discover and characterize sncRNA genes and specifically-processed sncRNA products from these datasets. To fill this gap, we present Small RNA-seq Portal for Analysis of sequencing expeRiments (SPAR), a user-friendly web server for interactive processing, analysis, annotation and visualization of small RNA sequencing data. SPAR supports sequencing data generated from various experimental protocols, including smRNA-seq, short total RNA sequencing, microRNA-seq, and single-cell small RNA-seq. Additionally, SPAR includes publicly available reference sncRNA datasets from our DASHR database and from ENCODE across 185 human tissues and cell types to produce highly informative small RNA annotations across all major small RNA types and other features such as co-localization with various genomic features, precursor transcript cleavage patterns, and conservation. SPAR allows the user to compare the input experiment against reference ENCODE/DASHR datasets. SPAR currently supports analyses of human (hg19, hg38) and mouse (mm10) sequencing data. SPAR is freely available at https://www.lisanwanglab.org/SPAR.

Indexed as

SoftwareAnimalsComputational BiologyGenomicsHigh-Throughput Nucleotide SequencingHumansInternetMiceMolecular Sequence AnnotationRNARNA, Small UntranslatedSequence Analysis, RNATranscriptomeRNARNA, Small Untranslated

Identifiers

PMID29733404
PMCPMC6030839

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.