Evidence map›Paper›PMID 32165660›Full record

ArticleScientific reports2020

COMPSRA: a COMprehensive Platform for Small RNA-Seq data Analysis.

Jiang Li, Alvin T Kho, Robert P Chase, Lorena Pantano, Leanna Farnam, Sami S Amr, Kelan G Tantisira

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. SomaticiScience · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. piRNA associates with immune diseases.Cell communication and signaling : CCS · 2024
    Review
  16. Observational
  17. Article
  18. Article
  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

7 authors.

Jiang LiThe Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA. rejia@channing.harvard.edu.ORCID http://orcid.org/0000-0002-9791-2553
Alvin T KhoBoston Children's Hospital, Boston, MA, USA.
Robert P ChaseThe Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA.
Lorena PantanoHarvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3859-3249
Leanna FarnamThe Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA.
Sami S AmrPartners Personalized Medicine, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0927-6057
Kelan G TantisiraThe Channing Division of Network Medicine, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, USA. rekgt@channing.harvard.edu.

Funding

Systems Biology of Airway DiseaseP01HL132825 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WEISS, SCOTT T · 2016 to 2020
$12.6M
MICRORNAS IN CIRCULATION: ONTOLOGIES OF ASTHMA SEVERITY AND TREATMENT (MICROCOAST)R01HL127332 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI TANTISIRA, KELAN G · 2015 to 2018
$3.4M
DISEASE AND HEALTH: ASTHMA RESILIENCE THROUGH MICRORNA ATTRIBUTES (DHARMA)R01HL129935 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI TANTISIRA, KELAN G · 2015 to 2017
$1.4M
NHLBI NIH HHS P01 HL132825NHLBI NIH HHS R01 HL127332NHLBI NIH HHS R01 HL129935
6 · The paper itself

Abstract

Small RNA-Seq is a common means to interrogate the small RNA'ome or the full spectrum of small RNAs (<200 nucleotide length) of a biological system. A pivotal problem in NGS based small RNA analysis is identifying and quantifying the small RNA'ome constituent components. For example, small RNAs in the circulatory system (circulating RNAs) are potential disease biomarkers and their function is being actively investigated. Most existing NGS data analysis tools focus on the microRNA component and a few other small RNA types like piRNA, snRNA and snoRNA. A comprehensive platform is needed to interrogate the full small RNA'ome, a prerequisite for down-stream data analysis. We present COMPSRA, a comprehensive modular stand-alone platform for identifying and quantifying small RNAs from small RNA sequencing data. COMPSRA contains prebuilt customizable standard RNA databases and sequence processing tools to enable turnkey basic small RNA analysis. We evaluated COMPSRA against comparable existing tools on small RNA sequencing data set from serum samples of 12 healthy human controls, and COMPSRA identified a greater diversity and abundance of small RNA molecules. COMPSRA is modular, stand-alone and integrates multiple customizable RNA databases and sequence processing tool and is distributed under the GNU General Public License free to non-commercial registered users at https://github.com/cougarlj/COMPSRA.

Indexed as

Computational BiologyHealthy VolunteersHigh-Throughput Nucleotide SequencingHumansInternetRNA, Small UntranslatedSequence Analysis, RNASoftwareRNA, Small Untranslated

Identifiers

PMID32165660
PMCPMC7067867

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.