Evidence map›Paper›PMID 32423416›Full record

ArticleGenome biology2020

tappAS: a comprehensive computational framework for the analysis of the functional impact of differential splicing.

Lorena de la Fuente, Ángeles Arzalluz-Luque, Manuel Tardáguila, Héctor Del Risco, Cristina Martí, Sonia Tarazona, Pedro Salguero, Raymond Scott, Alberto Lerma, Ana Alastrue-Agudo and 6 more

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

49 citing papers in PubMed, 70 citations in OpenAlex.

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  10. Long-Read Sequencing Reveals RNA Splicing Complexity in Human Diseases.Computational and structural biotechnology journal · 2026
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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

16 authors at 5 institutions in 4 countries.

Lorena de la FuenteGenomics of Gene Expression Laboratory, Prince Felipe Research Center, Valencia, Spain.
Ángeles Arzalluz-LuqueDepartment of Statistics and Operational Research, Polytechnical University of Valencia, Valencia, Spain.
Manuel TardáguilaDepartment of Microbiology and Cell Science, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, FL, USA.
Héctor Del RiscoDepartment of Microbiology and Cell Science, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, FL, USA.
Cristina MartíGenomics of Gene Expression Laboratory, Prince Felipe Research Center, Valencia, Spain.
Sonia TarazonaDepartment of Statistics and Operational Research, Polytechnical University of Valencia, Valencia, Spain.
Pedro SalgueroGenomics of Gene Expression Laboratory, Prince Felipe Research Center, Valencia, Spain.
Raymond ScottDepartment of Microbiology and Cell Science, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, FL, USA.
Alberto LermaGenomics of Gene Expression Laboratory, Prince Felipe Research Center, Valencia, Spain.
Ana Alastrue-AgudoPresent Address: Human Genetics Department, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
Pablo BonillaPresent Address: Human Genetics Department, Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
Jeremy R B NewmanGenetics Institute, University of Florida, Gainesville, FL, USA.
Shunichi KosugiGenetics Institute, University of Florida, Gainesville, FL, USA.
Lauren M McIntyreGenetics Institute, University of Florida, Gainesville, FL, USA.
Victoria Moreno-ManzanoNeural Regeneration Laboratory, Prince Felipe Research Center, Valencia, Spain.
Ana ConesaDepartment of Microbiology and Cell Science, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, FL, USA. aconesa@ufl.edu.ORCID 0000-0001-9597-311X
University of Florida · USCentro de Investigacion Principe Felipe · ESWellcome Sanger Institute · GBUniversitat Politècnica de València · ESHospital Universitario Fundación Jiménez Díaz · ES

Funding

Critical role for alternative splicing in conferring risk for type 1 diabetesR01DK116954 · NIDDK · UNIVERSITY OF FLORIDA · PI CONCANNON, PATRICK · 2018 to 2021
$2.0M
Allele Specific Regulation of Context Specific GRNR01GM128193 · NIGMS · UNIVERSITY OF FLORIDA · PI MCINTYRE, LAUREN M. · 2018 to 2021
$1.5M
NIDDK NIH HHS R01 DK116954NIGMS NIH HHS R01 GM128193
6 · The paper itself

Abstract

Recent advances in long-read sequencing solve inaccuracies in alternative transcript identification of full-length transcripts in short-read RNA-Seq data, which encourages the development of methods for isoform-centered functional analysis. Here, we present tappAS, the first framework to enable a comprehensive Functional Iso-Transcriptomics (FIT) analysis, which is effective at revealing the functional impact of context-specific post-transcriptional regulation. tappAS uses isoform-resolved annotation of coding and non-coding functional domains, motifs, and sites, in combination with novel analysis methods to interrogate different aspects of the functional readout of transcript variants and isoform regulation. tappAS software and documentation are available at https://app.tappas.org.

Indexed as

Alternative SplicingSoftwareAnimalsGene Expression ProfilingMiceOligodendrocyte Precursor CellsPolyadenylationProtein IsoformsProtein Isoforms

Identifiers

PMID32423416
PMCPMC7236505
OpenAlexW3027570368

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.