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I like the presentation (heatmap table). Could you try varying the "-K" and "-M" parameters? Alternatively, you could design indexes with greater key size (more ones in the mask). There is a lot of flexibility, though I haven't thought about longer read lengths. The only criticism I have is that short-read aligners are designed for short-reads, and you are using them in a non-standard way; just like BLAT would not be used for 35bp error-prone reads.
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Yes actually the point of the study is to determine how they behave with different read lengths. Most mappers are made for say 50bp, but what about 55 or 45 or 60...? The problem is that my type of reads ( from 4C / Hi-C / 3C ) don't have nice single size reads. That's why I'm testing each aligner to see where it is the strongest and where it is the weakest. My hope is that I can combine 2 or more programs to have a complete solution.
My question for BFast is because I thought that a longer read would generate more CALS and therefore, all things being equal, would be easier to map ... which is what happens in Blat... anyway I will try to mess around with BFast a bit moreLast edited by aleferna; 08-01-2010, 10:47 AM.Comment
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Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
...06-02-2026, 10:05 AM -
With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.
Introduction
Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...05-22-2026, 06:42 AM
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