Circular RNA identification based on multiple seed matching
By Yuan Gao, Jinyang Zhang, Fangqing Zhao. Briefings Bioinform., 2018
568 citations recorded by the source corpus.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/9fbb4a5ea619d2a8334edf8f7aed9a795740b845
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In Cancer Research
In Molecular Biology
Citations in the corpus
- CircAtlas: an integrated resource of one million highly accurate circular RNAs from 1070 vertebrate transcriptomes (2020, methodology): “Meanwhile, the circad, circR2Disease [34], and circRNADisease [26] pipelines were integrated into the circAtlas to evaluate the correlation of circRNAs to various diseases.”
- The bioinformatics toolbox for circRNA discovery and analysis (2020, background): “While some studies used simulated data to test their discovery and identification algorithm, it remains challenging to determine their usefulness because simulated data may not recapitulate the actual state or background of the linear and circular transcriptome [14, 44].”