Evidence map›Paper›PMID 29850891›Full record

ArticleBioinformatics (Oxford, England)2018

Motif scraper: a cross-platform, open-source tool for identifying degenerate nucleotide motif matches in FASTA files.

Elisha D O Roberson

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

1 author.

Elisha D O RobersonDepartment of Medicine, Division of Rheumatology, Washington University, St. Louis, MO, USA.

Funding

Viral Discovery in Rheumatoid ArthritisP30AR048335 · NIAMS · WASHINGTON UNIVERSITY · PI WEIHL, CONRAD C · 2001 to 2015
$8.9M
NIAMS NIH HHS P30 AR048335
6 · The paper itself

Abstract

Summary: Many genomic features are defined not by exact sequence matches, but by degenerate nucleotide motifs that represent multiple compatible matches. While there are databases cataloging genomic features, such as the location of transcription factor motifs, for commonly used model species, identifying the locations of novel motifs, known motifs in non-model genomes, or known motifs in personal whole-genomes is difficult. I designed motif scraper to overcome this limitation, allowing for efficient, multiprocessor motif searches in any FASTA file. Availability and implementation: The motif scraper package (MIT license) is available via PyPI, and the Python source is available on GitHub at https://github.com/RobersonLab/motif_scraper.

Indexed as

GenomicsNucleotide MotifsSoftwareComputational Biology

Identifiers

PMID29850891
PMCPMC6223366

What OpenQuestion holds

Textmetadata
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.