ReviewBiomolecular concepts2015
A survey of computational methods in transcriptome-wide alternative splicing analysis.
Review in Biomolecular concepts, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- CD43 expressed in Sertoli, Leydig and germ cells inhibits testicular function and represents a potential target to treat male infertility or effect male contraception.Reproductive biology and endocrinology : RB&E · 2025Article
- Transcript diversity in aging: cryptic transcription and splicing.Medical review (2021) · 2025Review
- A Method to Quantitatively Examine Heat Stress-Induced Alternative Splicing in Plants by RNA-Seq and RT-PCR.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Alternative RNA Splicing in the Retina: Insights and Perspectives.Cold Spring Harbor perspectives in medicine · 2023Review
- Targeting alternative splicing in cancer immunotherapy.Frontiers in cell and developmental biology · 2023Review
- Transcriptomic analysis reveals Aspergillus oryzae responds to temperature stress by regulating sugar metabolism and lipid metabolism.PloS one · 2022Article
- Maternal methionine supplementation during gestation alters alternative splicing and DNA methylation in bovine skeletal muscle.BMC genomics · 2021Article
- Computing the Role of Alternative Splicing in Cancer.Trends in cancer · 2021Review
- Systematic evaluation of differential splicing tools for RNA-seq studies.Briefings in bioinformatics · 2020Article
- Visualization and analysis of RNA-Seq assembly graphs.Nucleic acids research · 2019Article
- Haplosaurus computes protein haplotypes for use in precision drug design.Nature communications · 2018Article
- Transcriptome analysis of different growth stages of Aspergillus oryzae reveals dynamic changes of distinct classes of genes during growth.BMC microbiology · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Alternative splicing is widely recognized for its roles in regulating genes and creating gene diversity. Consequently the identification and quantification of differentially spliced transcripts is pivotal for transcriptome analysis. Here, we review the currently available computational approaches for the analysis of RNA-sequencing data with a focus on exon-skipping events of alternative splicing and discuss the novelties as well as challenges faced to perform differential splicing analyses. In accordance with operational needs we have classified the software tools, which may be instrumental for a specific analysis based on the experimental objectives and expected outcomes. In addition, we also propose a framework for future directions by pinpointing more extensive experimental validation to assess the accuracy of the software predictions and improvements that would facilitate visualizations, data processing, and downstream analyses along with their associated software implementations.
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What OpenQuestion holds
Registered trials
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.