Evidence map›Paper›PMID 25409465›Full record

ArticlePloS one2014

detectIR: a novel program for detecting perfect and imperfect inverted repeats using complex numbers and vector calculation.

Congting Ye, Guoli Ji, Lei Li, Chun Liang

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. invertiaDB: A Database of Inverted Repeats Across Organismal Genomes.bioRxiv : the preprint server for biology · 2024
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Finding and Characterizing Repeats in Plant Genomes.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. PCIR: a database of Plant Chloroplast Inverted Repeats.Database : the journal of biological databases and curation · 2019
    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

4 authors.

Congting YeDepartment of Automation, Xiamen University, Xiamen, Fujian 361005, China; Department of Biology, Miami University, Oxford, Ohio 45056, United States of America.
Guoli JiDepartment of Automation, Xiamen University, Xiamen, Fujian 361005, China; Innovation Center for Cell Biology, Xiamen University, Xiamen, Fujian 361005, China.
Lei LiDepartment of Automation, Xiamen University, Xiamen, Fujian 361005, China; Department of Biology, Miami University, Oxford, Ohio 45056, United States of America.
Chun LiangDepartment of Biology, Miami University, Oxford, Ohio 45056, United States of America; State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.

Funding

In silico Exploration of Alternative Polyadenylation Using Next-Generation SequenR15GM094732 · NIGMS · MIAMI UNIVERSITY OXFORD · PI KARRO, JOHN E., LI, QINGSHUN Q · 2011 to 2011
$284k
NIGMS NIH HHS 1R15GM94732-1 A1NIGMS NIH HHS R15 GM094732
6 · The paper itself

Abstract

Inverted repeats are present in abundance in both prokaryotic and eukaryotic genomes and can form DNA secondary structures--hairpins and cruciforms that are involved in many important biological processes. Bioinformatics tools for efficient and accurate detection of inverted repeats are desirable, because existing tools are often less accurate and time consuming, sometimes incapable of dealing with genome-scale input data. Here, we present a MATLAB-based program called detectIR for the perfect and imperfect inverted repeat detection that utilizes complex numbers and vector calculation and allows genome-scale data inputs. A novel algorithm is adopted in detectIR to convert the conventional sequence string comparison in inverted repeat detection into vector calculation of complex numbers, allowing non-complementary pairs (mismatches) in the pairing stem and a non-palindromic spacer (loop or gaps) in the middle of inverted repeats. Compared with existing popular tools, our program performs with significantly higher accuracy and efficiency. Using genome sequence data from HIV-1, Arabidopsis thaliana, Homo sapiens and Zea mays for comparison, detectIR can find lots of inverted repeats missed by existing tools whose outputs often contain many invalid cases. detectIR is open source and its source code is freely available at: https://sourceforge.net/projects/detectir.

Indexed as

SoftwareAlgorithmsArabidopsisBase SequenceComputational BiologyGenomeHIV-1HumansInverted Repeat SequencesZea mays

Identifiers

PMID25409465
PMCPMC4237412

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.