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Hello from San Francisco!
Hi everyone, I'm interested in PCR, genomic databases and sequence browsers. I hope I can be of help and learn about better tools. Hope to see you around (p.s. let me know if you are in the bay area).
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I'm in the east bay and work in Menlo Park several others are around here as well...maybe it's time for a local meetup? -
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< Stanford
HiMendelian Disorder: A blogshare of random useful information for general public consumption. [Blog]
Breakway: A Program to Identify Structural Variations in Genomic Data [Website] [Forum Post]
Projects: U87MG whole genome sequence [Website] [Paper]Comment
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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.
There is no single reason why many patients don’t respond to treatment as expected. Cancer is...Yesterday, 05:17 AM -
Love 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.07-01-2026, 11:43 AM
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