ArticleNucleic acids research2013
Interpreting genomic data via entropic dissection.
Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 37 citations in OpenAlex.
- Integrative analysis of the roles and prognostic value of RNA-binding proteins in papillary renal cell carcinoma.Discover oncology · 2026Article
- POSMM: an efficient alignment-free metagenomic profiler that complements alignment-based profiling.Environmental microbiome · 2023Article
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- Integrated Analysis of the Prognosis-Associated RNA-Binding Protein Genes and Candidate Drugs in Renal Papillary Cell Carcinoma.Frontiers in genetics · 2021Article
- IslandCafe: Compositional Anomaly and Feature Enrichment Assessment for Delineation of Genomic Islands.G3 (Bethesda, Md.) · 2019Article
- Transcriptome based Identification of silver stress responsive sRNAs from Bacillus cereus ATCC14579.Bioinformation · 2019Article
- SpliceHetero: An information theoretic approach for measuring spliceomic intratumor heterogeneity from bulk tumor RNA-seq.PloS one · 2019Article
- Deciphering evolutionary strata on plant sex chromosomes and fungal mating-type chromosomes through compositional segmentation.Plant molecular biology · 2016Article
- Identification of Novel Genomic Islands in Liverpool Epidemic Strain of Pseudomonas aeruginosa Using Segmentation and Clustering.Frontiers in microbiology · 2016Article
- Investigating genomic structure using changept: A Bayesian segmentation model.Computational and structural biotechnology journal · 2014Review
- Article
- Detecting evolutionary strata on the human x chromosome in the absence of gametologous y-linked sequences.Genome biology and evolution · 2013Article
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 at 1 institution in 1 country.
Funding
Abstract
Since the emergence of high-throughput genome sequencing platforms and more recently the next-generation platforms, the genome databases are growing at an astronomical rate. Tremendous efforts have been invested in recent years in understanding intriguing complexities beneath the vast ocean of genomic data. This is apparent in the spurt of computational methods for interpreting these data in the past few years. Genomic data interpretation is notoriously difficult, partly owing to the inherent heterogeneities appearing at different scales. Methods developed to interpret these data often suffer from their inability to adequately measure the underlying heterogeneities and thus lead to confounding results. Here, we present an information entropy-based approach that unravels the distinctive patterns underlying genomic data efficiently and thus is applicable in addressing a variety of biological problems. We show the robustness and consistency of the proposed methodology in addressing three different biological problems of significance--identification of alien DNAs in bacterial genomes, detection of structural variants in cancer cell lines and alignment-free genome comparison.
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.