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i have 11700000 paired end reads.when i run denovo assembly by Genious , 130000 contig is produced. can i help me to in this issue?????
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Your best bet is to contact Geneious tech support. Your question is very generic and you are using a commercial software package which is going to make it difficult to get useful help here. -
Anybody looking at this would need some more info: What type of organism? Which genome size is expected? What read lengths did you use? What library prep protocol and insert sizes?Comment
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Given the fact that issues can occur anywhere beginning from samplequality,library-preparation, sequencing and last but not least parameter-settings used for assembly, it is hard to provide help with this minimum amount of information. But probably the first, cost and time effective thing you could try is to test a range of different kmer-sizes and keeping track of the changes in N50. Another thing you could check if your genome is diluted by very short sequence clusters (nearly readlength). Maybe throwing away all contigs <200bp still represents 99% of your target genome and you will end up with much less contigs in total.Comment
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The field of immunogenetics explores how genetic variations influence immune responses and susceptibility to disease. In a recent SEQanswers webinar, Oscar Rodriguez, Ph.D., Postdoctoral Researcher at the University of Louisville, and Ruben Martínez Barricarte, Ph.D., Assistant Professor of Medicine at Vanderbilt University, shared recent advancements in immunogenetics. This article discusses their research on genetic variation in antibody loci, antibody production processes,...11-06-2024, 07:24 PM -
Next-generation sequencing (NGS) and quantitative polymerase chain reaction (qPCR) are essential techniques for investigating the genome, transcriptome, and epigenome. In many cases, choosing the appropriate technique is straightforward, but in others, it can be more challenging to determine the most effective option. A simple distinction is that smaller, more focused projects are typically better suited for qPCR, while larger, more complex datasets benefit from NGS. However,...10-18-2024, 07:11 AM
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