Evidence map›Paper›PMID 29309527›Full record

ArticleBioinformatics (Oxford, England)2018

myTAI: evolutionary transcriptomics with R.

Hajk-Georg Drost, Alexander Gabel, Jialin Liu, Marcel Quint, Ivo Grosse

Open access · hybridAbstract 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 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.4field-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

36 citing papers in PubMed, 76 citations in OpenAlex.

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  9. The Interplay of Ontogeny and Phylogeny at the Transcriptome Level of the Tetrapod Heart.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025
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  12. Evolutionary Transcriptomics of Cancer Development.International journal of molecular sciences · 2025
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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

5 authors at 4 institutions in 3 countries.

Hajk-Georg DrostSainsbury Laboratory Cambridge, University of Cambridge, Cambridge CB2 1LR, UK.
Alexander GabelInstitute of Computer Science, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany.
Jialin LiuUniversité de Lausanne, Département d'Ecologie et d'Evolution, Quartier Sorge, 1015 Lausanne, Switzerland.
Marcel QuintInstitute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany.
Ivo GrosseInstitute of Computer Science, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany.
Martin Luther University Halle-Wittenberg · DEGerman Centre for Integrative Biodiversity Research · DEUniversity of Cambridge · GBUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Next Generation Sequencing (NGS) technologies generate a large amount of high quality transcriptome datasets enabling the investigation of molecular processes on a genomic and metagenomic scale. These transcriptomics studies aim to quantify and compare the molecular phenotypes of the biological processes at hand. Despite the vast increase of available transcriptome datasets, little is known about the evolutionary conservation of those characterized transcriptomes. Results: The myTAI package implements exploratory analysis functions to infer transcriptome conservation patterns in any transcriptome dataset. Comprehensive documentation of myTAI functions and tutorial vignettes provide step-by-step instructions on how to use the package in an exploratory and computationally reproducible manner. Availability and implementation: The open source myTAI package is available at https://github.com/HajkD/myTAI and https://cran.r-project.org/web/packages/myTAI/index.html. Contact: hgd23@cam.ac.uk. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

TranscriptomeBiological EvolutionGenomicsSoftware

Identifiers

PMID29309527
PMCPMC5925770
OpenAlexW2779254625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.