Evidence map›Paper›PMID 29158538›Full record

ArticleScientific reports2017

PinAPL-Py: A comprehensive web-application for the analysis of CRISPR/Cas9 screens.

Philipp N Spahn, Tyler Bath, Ryan J Weiss, Jihoon Kim, Jeffrey D Esko, Nathan E Lewis, Olivier Harismendy

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. CRISPR-Cas9 screening revealsMolecular therapy. Advances · 2026
    Article
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  8. The murine MHC-E molecule Qa-1Frontiers in immunology · 2026
    Article
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  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
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  19. Review
  20. Article

8 more citing papers are in PubMed but not listed here.

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.

Philipp N SpahnSchool of Medicine, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Tyler BathDivision of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA.
Ryan J WeissGlycobiology Research and Training Center, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Jihoon KimDivision of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA.
Jeffrey D EskoGlycobiology Research and Training Center, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Nathan E LewisSchool of Medicine, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA. n4lewis@ucsd.edu.
Olivier HarismendyDivision of Biomedical Informatics, University of California San Diego, La Jolla, CA, USA. oharismendy@ucsd.edu.

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, IDEKER, TREY · 2010 to 2018
$23.3M
iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
Unraveling the mammalian secretory pathway through systems biology and algorithm developmentR35GM119850 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEWIS, NATHAN ENOCH · 2016 to 2025
$4.3M
In vivo detection and genome-wide location analysis of DNA-adductsR21CA177519 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HARISMENDY, OLIVIER, HOWELL, STEPHEN B · 2013 to 2015
$667k
Genome-wide Analysis of Heparan Sulfate using CRISPR/Cas9R21CA199292 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ESKO, JEFFREY D · 2015 to 2016
$371k
NCI NIH HHS R21 CA177519NCI NIH HHS R21 CA199292NHLBI NIH HHS U54 HL108460NIGMS NIH HHS P50 GM085764NIGMS NIH HHS R35 GM119850
6 · The paper itself

Abstract

Large-scale genetic screens using CRISPR/Cas9 technology have emerged as a major tool for functional genomics. With its increased popularity, experimental biologists frequently acquire large sequencing datasets for which they often do not have an easy analysis option. While a few bioinformatic tools have been developed for this purpose, their utility is still hindered either due to limited functionality or the requirement of bioinformatic expertise. To make sequencing data analysis of CRISPR/Cas9 screens more accessible to a wide range of scientists, we developed a Platform-independent Analysis of Pooled Screens using Python (PinAPL-Py), which is operated as an intuitive web-service. PinAPL-Py implements state-of-the-art tools and statistical models, assembled in a comprehensive workflow covering sequence quality control, automated sgRNA sequence extraction, alignment, sgRNA enrichment/depletion analysis and gene ranking. The workflow is set up to use a variety of popular sgRNA libraries as well as custom libraries that can be easily uploaded. Various analysis options are offered, suitable to analyze a large variety of CRISPR/Cas9 screening experiments. Analysis output includes ranked lists of sgRNAs and genes, and publication-ready plots. PinAPL-Py helps to advance genome-wide screening efforts by combining comprehensive functionality with user-friendly implementation. PinAPL-Py is freely accessible at http://pinapl-py.ucsd.edu with instructions and test datasets.

Indexed as

SoftwareComputational BiologyCRISPR-Cas SystemsGenetic TestingGenomicsInternet

Identifiers

PMID29158538
PMCPMC5696473

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.