Evidence map›Paper›PMID 34282326›Full record

ArticleNature biotechnology2021

A Python-based programming language for high-performance computational genomics.

Ariya Shajii, Ibrahim Numanagić, Alexander T Leighton, Haley Greenyer, Saman Amarasinghe, Bonnie Berger

Abstract readLetter
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Sequre: a high-performance framework for rapid development of secure bioinformatics pipelines.IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum
    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.

Ariya Shajii *Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Ibrahim Numanagić *Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Alexander T LeightonComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Haley GreenyerDepartment of Computer Science, University of Victoria, Victoria, British Columbia, Canada.
Saman AmarasingheComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA. saman@csail.mit.edu.ORCID http://orcid.org/0000-0002-7231-7643
Bonnie BergerComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA. bab@mit.edu.ORCID http://orcid.org/0000-0002-2724-7228

Funding

Privacy-preserving genomic medicine at scaleR01HG010959 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BERGER, BONNIE · 2020 to 2023
$2.6M
Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (NSERC Canadian Network for Research and Innovation in Machining Technology) RGPIN-2019-04973NHGRI NIH HHS R01 HG010959U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) R01HG010959
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

GenomicsProgramming LanguagesComputational BiologySoftware

Identifiers

PMID34282326
PMCPMC8542382

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.