Wow, this seems like it could be much better suited to my data than RepeatMasker.
Essentially, we've designed a method, (based on Paabo's neanderthal protocol), to pull down RNA/DNA hybrids from a cell and ligate to adaptors for Illumina sequencing. So, hopefully, all my reads will contain either R-loops or retroelements.
What I need is a program that can check all my reads for repetitive elements, then spit out a table summarizing all the counts of the different elements that are found, (which is why the RepeatMasker summary table is so nice). But I have no need to then mask these elements.
I will definitely give Transposome a try, unless you think it won't be suitable for my needs with the additional information I've just provided.
Thanks so much for your help, it's really appreciated.
According to top I'm using between 50-70% Cpu and ~13.2% memory
What do you mean by "huge files" are being used? A draft assembly with thousands of scaffolds, or is it millions of unassembled WGS reads?
Sorry I wasn't more explicit, I'm very new to NGS. I've basically taken a miseq run, trimmed adaptors, converted from fastq to fasta, and am running the fasta through repeatmasker. So ~ 2 million sequences or so.
And the reads were SE 150, so running around ~130 with adaptors trimmed
Thanks for the information, I wanted to make sure before I answered.