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You could do it with Annocript. It annotates the transcriptome and gives putative lnc RNAs sequences...
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You can use Dario web server which is a free web tool for ncRNA analysis using RNAseq data.
I have not used it before. so can not comment on the results. Please let me know your experience wit it.
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long ncRNA from RNA-seq
I am a biologist and a poor programmer. I have assembled RNA-seq data from which I'd like to extract all potential long ncRNA candidates. I assume the easiest way would be to compare my data to Refseq or Rfam but I don't know how to do this. Furthermore, this strategy would only pick up already annotated lncRNA. I would be glad of any help.Last edited by stephenhart; 09-28-2011, 11:45 PM.
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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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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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