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You may also want to try MaxSSmap http://www.biomedcentral.com/1471-2164/15/969/abstract. Let me know if this works for your problem.
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MaxSSmap
You may want to try a new GPU program that uses the maximum scoring subsequence for mapping reads: http://www.biomedcentral.com/1471-2164/15/969/abstract
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Stampy?
I haven't tried it yet but this program appears to do what you are asking for.
Let me know how it works for you
Andrew
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Mapping genomic reads to divergent exome
I have been trying to map genomic Illumina data to a divergent reference in order to get the sequence of exons in my sample. The idea is that although the introns and intergenic regions may be too variable to map the coding sites are more conserved and may be alignable.
It seems like it may be a task that someone else has tackled but I can't find any reference to it.
I am expecting about 10% of sites to differ in exons (but ~30% outside of exons). So far, I have used BWA and STAMPY and I can recover about 50% of the exome but haven't been able to get the rest. I worry that exon-intron boundaries are hard to map because only some of the read will align well and potentially its mate won't map at all if its out in the intergenic DNA or in an intron.
Some things I have been toying with:
(1) Masking noncoding DNA
(2) Converting obvious differences in the reference to reduce divergence and repeating the alignment
(3) de novo assembly of short contigs and then BLASTing them against reference exons.
If anyone has any experience with a similar task it would be valuable to know their experiences.
Latest Articles
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by seqadmin
Metagenomics has improved the way researchers study microorganisms across diverse environments. Historically, studying microorganisms relied on culturing them in the lab, a method that limits the investigation of many species since most are unculturable1. Metagenomics overcomes these issues by allowing the study of microorganisms regardless of their ability to be cultured or the environments they inhabit. Over time, the field has evolved, especially with the advent...-
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09-23-2024, 06:35 AM -
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by seqadmin
During the COVID-19 pandemic, scientists observed that while some individuals experienced severe illness when infected with SARS-CoV-2, others were barely affected. These disparities left researchers and clinicians wondering what causes the wide variations in response to viral infections and what role genetics plays.
Jean-Laurent Casanova, M.D., Ph.D., Professor at Rockefeller University, is a leading expert in this crossover between genetics and infectious...-
Channel: Articles
09-09-2024, 10:59 AM -
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