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Hey guys, I'm a newbie to bioinformatics and still doing an undergrad. But I really needed help with something and hope you guys can. I am designing an expression vector using APE and needed to know about how to engineer the ribosome binding site into it. I'm sorry if this is a really dumb question but like I said, complete newbie.
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For this exercise you may want to resort to a low tech (pen and paper/talking this through with someone in person) method. Especially if you are new to informatics and do not have adequate biology background. Only you know what kind resources (vectors/fragments/enzymes) are available in the lab you are working in and unless you provide a lot of additional information it may not be possible for folks here to help.
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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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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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