Evidence map›Paper›PMID 12824388›Full record

ArticleNucleic acids research2003

MAK, a computational tool kit for automated MITE analysis.

Guojun Yang, Timothy C Hall

Open access · greenAbstract read
In one paragraph

Article in Nucleic acids research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

28 citing papers in PubMed, 74 citations in OpenAlex.

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  11. iMITEdb: the genome-wide landscape of miniature inverted-repeat transposable elements in insects.Database : the journal of biological databases and curation · 2016
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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

2 authors at 1 institution in 1 country.

Guojun YangInstitute of Developmental and Molecular Biology and Department of Biology, Texas A&M University,College Station, TX 77843-3155, USA.
Timothy C Hall
Texas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Miniature inverted repeat transposable elements (MITEs) are ubiquitous and numerous in higher eukaryotic genomes. Analysis of MITE families is laborious and time consuming, especially when multiple MITE families are involved in the study. Based on the structural characteristics of MITEs and genetic principles for transposable elements (TEs), we have developed a computational tool kit named MITE analysis kit (MAK) to automate the processes (http://perl.idmb.tamu.edu/mak.htm). In addition to its ability to routinely retrieve family member sequences and to report the positions of these elements relative to the closest neighboring genes, MAK is a powerful tool for revealing anchor elements that link MITE families to known transposable element families. Implementation of the MAK is described, as are genetic principles and algorithms used in its derivation. Test runs of the programs for several MITE families yielded anchor sequences that retain TIRs and coding regions reminiscent of transposases. These anchor sequences are consistent with previously reported putative autonomous elements for these MITE families. Furthermore, analysis of two MITE families with no known links to any transposon family revealed two novel transposon families, namely Math and Kid, belonging to the IS5/Harbinger/PIF superfamily.

Indexed as

DNA Transposable ElementsSoftwareAnimalsComputational BiologyDatabases, Nucleic AcidInternetMolecular Sequence DataRepetitive Sequences, Nucleic AcidSequence AlignmentSequence Analysis, DNAUser-Computer InterfaceDNA Transposable Elements

Identifiers

PMID12824388
PMCPMC168938
OpenAlexW1975658108

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.