I have been trying to run KNIFE v1.4 on some of our RNAseq data. For this dataset we did some UMI based dup marking on the bams and re-converted the dup marked bam to fastq in order to run KNIFE (and other circRNA tools) on them. When I try to run KNIFE on this bam2fastq converted inputs, I am running into this error:
Error in eval(predvars, data, env) : object 'is.pos' not found
Calls: glm ... eval -> -> model.frame.default -> eval -> eval
However I am able to run it successfully on the (non-dup mark converted) original fastq file itself. After I did the bam2fastq conversion I also made sure to trim them as pairs so only mates are retained but I am not sure why KNIFE is erroring out.
Is KNIFE incompatible with fastqs that have been generated this way?
Hi,
I have been trying to run KNIFE v1.4 on some of our RNAseq data. For this dataset we did some UMI based dup marking on the bams and re-converted the dup marked bam to fastq in order to run KNIFE (and other circRNA tools) on them. When I try to run KNIFE on this bam2fastq converted inputs, I am running into this error:
Error in eval(predvars, data, env) : object 'is.pos' not found Calls: glm ... eval -> -> model.frame.default -> eval -> eval
(complete log file attached - KNIFE_out.log )
However I am able to run it successfully on the (non-dup mark converted) original fastq file itself. After I did the bam2fastq conversion I also made sure to trim them as pairs so only mates are retained but I am not sure why KNIFE is erroring out.
Is KNIFE incompatible with fastqs that have been generated this way?
Appreciate your help!
-Shobana