I was hoping that someone might know of a good probe design software. My method is sort of based off of the oligo ligation assay and MLPA but it's not exactly either of those. I just want to be able to have something that if I input a sequence with a SNP, it will return the upstream hybridization oligo and downstream hybridization oligo to a SNP site. I have attached a photo to describe what I mean. I realize this might not be the best forum to post this in, but I don't know where else to ask. My goal would be to make hybridization oligos within a specific size range, close Tm, and 50/50ish GC content. I can do this by hand for a couple but I would like to expand my project to a couple of hundred sites. If anyone has any program suggestions I would appreciate it. Ideally something a dummy (like me) could use or at least a program with some tutorials. I have looked into Probemaker but even that seems awfully complicated. Even if the program isn't free I would look into it.
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by SEQadmin2
CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...-
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07-31-2026, 11:01 AM -
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by SEQadmin2
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...-
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07-20-2026, 11:48 AM -
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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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07-09-2026, 11:10 AM -
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