Any one work with colorspace data and have experience with Shrimp? I'm starting to work with such data and am exploring my options...
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Thanks! This saves me time to figure out Shrimp... I look forward to your comparison between Zoom and Bfast.
I do something similar for Illumina - first Eland and then Bowtie...
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I hated Corona for my applications. I liked SHRiMP for shorter reads (25 nt) but it's too slow for longer reads. Currently testing ZOOM, which looks good. Interested in other suggestions within reasonable academic means....
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(correct me if I'm wrong)
When colorspace data is converted to sequence, there is a significant loss of information... for example, single mismatch in colorspace may result in 2 mismatches in sequence.
So I think methods that work exclusively in colorspace are preferable.
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yeah.. that's interesting cuz I'm sure Heng know about this problem. Perhaps its just a quick hack for now.. and they'll have more in the pipeline.
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Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?
Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating...-
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