ReviewMethods (San Diego, Calif.)2015
Computational analysis of RNA structures with chemical probing data.
Review in Methods (San Diego, Calif.), 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
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.
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.
- Can geometric combinatorics improve RNA branching predictions?BMC bioinformatics · 2025Article
- RNA-mediated translation regulation in viral genomes: computational advances in the recognition of sequences and structures.Briefings in bioinformatics · 2020Review
- Article
- Advances in engineered trans-acting regulatory RNAs and their application in bacterial genome engineering.Journal of industrial microbiology & biotechnology · 2019Review
- nextPARS: parallel probing of RNA structures in Illumina.RNA (New York, N.Y.) · 2018Article
- Probing of RNA structures in a positive sense RNA virus reveals selection pressures for structural elements.Nucleic acids research · 2018Article
- The discovery potential of RNA processing profiles.Nucleic acids research · 2018Article
- Conditioning and Robustness of RNA Boltzmann Sampling under Thermodynamic Parameter Perturbations.Biophysical journal · 2017Article
- Comparative and integrative analysis of RNA structural profiling data: current practices and emerging questions.Quantitative biology (Beijing, China) · 2017Article
- RiboCAT: a new capillary electrophoresis data analysis tool for nucleic acid probing.RNA (New York, N.Y.) · 2017Article
- Characterizing RNA structures in vitro and in vivo with selective 2'-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq).Methods (San Diego, Calif.) · 2016Article
- Rsite2: an efficient computational method to predict the functional sites of noncoding RNAs.Scientific reports · 2016Article
- Structures to the people!eLife · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
RNAs play various roles, not only as the genetic codes to synthesize proteins, but also as the direct participants of biological functions determined by their underlying high-order structures. Although many computational methods have been proposed for analyzing RNA structures, their accuracy and efficiency are limited, especially when applied to the large RNAs and the genome-wide data sets. Recently, advances in parallel sequencing and high-throughput chemical probing technologies have prompted the development of numerous new algorithms, which can incorporate the auxiliary structural information obtained from those experiments. Their potential has been revealed by the secondary structure prediction of ribosomal RNAs and the genome-wide ncRNA function annotation. In this review, the existing probing-directed computational methods for RNA secondary and tertiary structure analysis are discussed.
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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.