Evidence map›Paper›PMID 36303789›Full record

ArticleFrontiers in bioinformatics2021

TRAL 2.0: Tandem Repeat Detection With Circular Profile Hidden Markov Models and Evolutionary Aligner.

Matteo Delucchi, Paulina Näf, Spencer Bliven, Maria Anisimova

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 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.

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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

4 authors.

Matteo DelucchiInstitute of Applied Simulations, School of Life Sciences und Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland.
Paulina NäfInstitute of Applied Simulations, School of Life Sciences und Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland.
Spencer BlivenInstitute of Applied Simulations, School of Life Sciences und Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland.
Maria AnisimovaInstitute of Applied Simulations, School of Life Sciences und Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Tandem Repeat Annotation Library (TRAL) focuses on analyzing tandem repeat units in genomic sequences. TRAL can integrate and harmonize tandem repeat annotations from a large number of external tools, and provides a statistical model for evaluating and filtering the detected repeats. TRAL version 2.0 includes new features such as a module for identifying repeats from circular profile hidden Markov models, a new repeat alignment method based on the progressive Poisson Indel Process, an improved installation procedure and a docker container. TRAL is an open-source Python 3 library and is available, together with documentation and tutorials

Indexed as

bioinformaticscomputational biologygenome annotationprofile hidden markov modelsprotein sequence analysistandem repeats

Identifiers

PMID36303789
PMCPMC9581039

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.