RTCpredictor: identification of read-through chimeric RNAs from RNA sequencing data.

Read-through chimeric RNAs are being recognized as a means to expand the functional transcriptome and contribute to cancer tumorigenesis when mis-regulated. However, current software tools often fail to predict them. We have developed RTCpredictor, utilizing a fast ripgrep tool to search for all possible exon-exon combinations of parental gene pairs.

: A Sex-Specific Chimeric RNA and Its Role in Immune Sexual Dimorphism.

RNA processing mechanisms, such as alternative splicing and RNA editing, have been recognized as critical means to expand the transcriptome. Chimeric RNAs formed by intergenic splicing provide another potential layer of RNA diversification. By analyzing a large set of RNA-Seq data and validating results in over 1,200 blood samples, we identified , a female-specific chimeric transcript.

Patient-Centered Quality Measures for Dialysis Care: A Report of a Kidney Disease Outcomes Quality Initiative (KDOQI) Scientific Workshop Sponsored by the National Kidney Foundation.

Providing high-quality patient-centered care is the central mission of dialysis facilities. Assessing quality and patient-centeredness of dialysis care is necessary for continuous dialysis facility improvement. Based predominantly on readily measured items, current quality measures in dialysis care emphasize biochemical and utilization outcomes, with very few patient-reported items.

RTCpredictor: Identification of Read-Through Chimeric RNAs from RNA Sequencing Data.

Read-through chimeric RNAs are gaining attention in cancer and other research fields, yet current tools often fail in predicting them. We have thus developed the first read-through chimeric RNA specific prediction method, RTCpredictor, utilizing a fast ripgrep algorithm to search for all possible exon-exon combinations of parental gene pairs. Compared with other ten popular tools, RTCpredictor achieved top performance on both simulated and real datasets.