Research Article
FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification
Table 4
Comparison of FcircSEC with alternative methods.
| Method | Prediction tools whose output is taken as input | Is RNA-seq data needed? | Classify circRNAs? | Limitation | Applicability |
| CIRI-full | CIRI | Yes | No | Not applicable for unequal read lengths in the RNA-seq data and for the annotation file in gff format | Applicable for the users of CIRI | FUCHS | DCC | Yes | No | Not applicable for short reads and cannot provide full-length circRNA sequence directly | Applicable for the users of DCC | circtools | DCC | Yes | No | Not applicable for short reads and cannot provide full-length circRNA sequence directly | Applicable for the users of DCC | CircPrimer | State-of-the-art circRNA prediction tools | No | No | Not applicable for other than human circRNAs and does not yield any information on splice sites within the circRNA sequence | Applicable for human circRNAs only | FcircSEC | State-of-the-art circRNA prediction tools | No | Yes | Does not yield any information on splice sites within the circRNA sequence | Applicable for almost all users of circRNA prediction tools |
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