My understanding of read mapping is that your generated reads are aligned to a reference sequence. Is the reference sequence/genome necessarily of the same organism or can the same process be applied to closely related species as well?
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You can map to a related species, but most mapping software is designed for mapping to the same organism. Your mapping proportion will drop, and you'll probably miss out on capturing sequence where there has been a substantial change between the species. I have done mapping for environmental samples where I know the general species, but not the specific strain, of a microorganism.
FWIW, Bowtie2 has a "local align mode" that should work a bit better for mapping to closely related species.
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by SEQadmin2
Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
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Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.
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07-08-2026, 05:17 AM -
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by GATTACATLove this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
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07-01-2026, 11:43 AM -
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