Evidence map›Paper›PMID 35796974›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Preparation of Non-overlapping Transposable Elements (TEs) Annotation by Interval Tree.

Shohei Kojima

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shohei KojimaGenome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan. shohei.kojima@riken.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transposable elements (TEs) are a major source of PIWI-interacting RNAs (piRNAs), therefore properly assigning piRNA library sequencing reads to the TEs from which they were derived is important for accurate assessment of piRNA biology. When calculating the abundance of small RNA-seq reads mapping to various TEs, a non-overlapping TE annotation is preferable because reads mapping to more than one genomic feature will often be excluded when counting reads. However, most unmodified TE annotations contain some degree of overlap between TE features. Here, I outline the principle and provide all scripts needed to resolve such overlapping regions of TE annotations to a single best TE annotation leveraging a computationally efficient tree algorithm. Non-overlapping annotations generated by this method can be directly used in commonly used read counting software.

Indexed as

DNA Transposable ElementsSoftwareGene LibraryGenomicsRNA, Small InterferingDNA Transposable ElementsRNA, Small InterferingInterval treeMobile genetic elementsRepeatMaskerRepetitive DNATransposon annotation

Identifiers

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.