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HI - I have read through your docs/paper and previous issues but have not found a detailed description of how soft clipping and read splitting work. Could you please point me to the right place or answer here?
From my understanding you split long reads into 256mers and map these then join them together in a way the results in either; (1) the whole long read mapping continuously, (2) ~1half of the long read mapping contiguously in one genomic region and the other half mapping elsewhere or (3) a section of the long read maps and the rest is soft clipped. Is that right or can NGMLR create multiple secondary alignments? I work with cancer genomes and am concerned that I am loosing a lot of read depth to soft clipping due to high levels of genomic rearrangement.
Thanks in advance.
Liam
The text was updated successfully, but these errors were encountered:
NGMLR can work with multiple splits within one read. We designed it during our work for SKBR3 breast cancer genome.
The split reads are reported as part of the read per entry indicated as soft clipping the part that was mapped elsewhere. Just to make sure that this is not what you are seeing. Other soft clipping can indicate novel insertions, but I assume that this should not happen too often here.
HI - I have read through your docs/paper and previous issues but have not found a detailed description of how soft clipping and read splitting work. Could you please point me to the right place or answer here?
From my understanding you split long reads into 256mers and map these then join them together in a way the results in either; (1) the whole long read mapping continuously, (2) ~1half of the long read mapping contiguously in one genomic region and the other half mapping elsewhere or (3) a section of the long read maps and the rest is soft clipped. Is that right or can NGMLR create multiple secondary alignments? I work with cancer genomes and am concerned that I am loosing a lot of read depth to soft clipping due to high levels of genomic rearrangement.
Thanks in advance.
Liam
The text was updated successfully, but these errors were encountered: