ArticleGenome biology2010
miRTRAP, a computational method for the systematic identification of miRNAs from high throughput sequencing data.
Article in Genome biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 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.
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Who cites it
50 citing papers in PubMed, 98 citations in OpenAlex.
- A simple inland culture system provides insights into ascidian post-embryonic developmental physiology.Open biology · 2025Article
- Direct observation of the evolution of cell-type-specific microRNA expression signatures supports the hematopoietic origin model of endothelial cells.Evolution & development · 2023Article
- An Integrated Bioinformatics and Functional Approach for miRNA Validation.Methods in molecular biology (Clifton, N.J.) · 2022Article
- MiR-92 Family Members Form a Cluster Required for Notochord Tubulogenesis in UrochordateGenes · 2021Article
- Article
- A novel miRNA inhibits metastasis of prostate cancer via decreasing CREBBP-mediated histone acetylation.Journal of cancer research and clinical oncology · 2021Article
- Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing.Briefings in bioinformatics · 2021Article
- Predicting Drosha and Dicer Cleavage Sites with DeepMirCut.Frontiers in molecular biosciences · 2021Article
- Exploring miR-9 Involvement inInternational journal of molecular sciences · 2020Article
- MiR&moRe2: A Bioinformatics Tool to Characterize microRNAs and microRNA-Offset RNAs from Small RNA-Seq Data.International journal of molecular sciences · 2020Article
- Challenges in microRNAs' targetome prediction and validation.Neural regeneration research · 2019Article
- miRWoods: Enhanced precursor detection and stacked random forests for the sensitive detection of microRNAs.PLoS computational biology · 2019Article
- PmiRDiscVali: an integrated pipeline for plant microRNA discovery and validation.BMC genomics · 2019Article
- Chickspress: a resource for chicken gene expression.Database : the journal of biological databases and curation · 2019Article
- Identification and characterization of microRNAs involved in ascidian larval metamorphosis.BMC genomics · 2018Article
- Evaluation of Bioinformatics Approaches for Next-Generation Sequencing Analysis of microRNAs with a Toxicogenomics Study Design.Frontiers in genetics · 2018Article
- Mirnovo: genome-free prediction of microRNAs from small RNA sequencing data and single-cells using decision forests.Nucleic acids research · 2017Article
- Detecting and characterizing microRNAs of diverse genomic origins via miRvial.Nucleic acids research · 2017Article
- A microRNA-mRNA expression network during oral siphon regeneration inDevelopment (Cambridge, England) · 2017Article
- Genome-wide survey of miRNAs and their evolutionary history in the ascidian, Halocynthia roretzi.BMC genomics · 2017Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
MicroRNAs (miRs) have been broadly implicated in animal development and disease. We developed a novel computational strategy for the systematic, whole-genome identification of miRs from high throughput sequencing information. This method, miRTRAP, incorporates the mechanisms of miR biogenesis and includes additional criteria regarding the prevalence and quality of small RNAs arising from the antisense strand and neighboring loci. This program was applied to the simple chordate Ciona intestinalis and identified nearly 400 putative miR loci.
Indexed as
Identifiers
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.