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The bioinformatic person is doing all that. She trimmed the adapters and tried aligning the reads to the genome using tophat. She got 40% alignment there. We tried blasting some of the unaligned reads and realized that something went wrong with the tophat run as some of them were aligning to chromosome M, chr 1, 4 etc. She will be doing the alignment again with STAR this time but to save on time she also ran the RSEM along side and got these low percentage alignments to transcriptome so I wanted to know if we are missing out on anything?
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It would be helpful if you posted some basic quality metrics, such as you get from FastQC. There's not enough information to determine what the problem is or even if there is a problem.Comment
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Ok. I have looked at the FastQC report of the samples and it looks fine to me. What kind of information should I give from FastQC report?Comment
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The whole thing as PDF is good way to start. But particularly the quality histograms, anything that failed the tests, and anything related to mapping. And the stats from adapter trimming, the command lines you used for each program, the top hits and mapping rate you got from Blast... etc.Comment
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I will have to ask my bioinformatician for the stats after adapter trimming. I will get back on this. Thanks for your time.Comment
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In the first segment of our review of epigenetic sequencing methods, we covered methylation detection, chromatin accessibility, and protein-DNA interactions. This final part of our review will break outside of the standard analysis and cover some influential multidimensional methods.
Spatial Epigenomics
“Epigenetic assays, whether conducted at the single-cell or bulk level, have played a crucial role in unraveling the underlying mechanisms of diseases and...Today, 06:48 AM -
Developments in sequencing technologies and methodologies have transformed the field of epigenetics, giving researchers a better way to understand the complex world of gene regulation and heritable modifications. This article explores some of the diverse sequencing methods employed in the study of epigenetics, ranging from classic techniques to cutting-edge innovations while providing a brief overview of their processes, applications, and advances.
Methylation Detect...05-31-2023, 10:46 AM -
Differential Expression and Data Visualization: Recommended Tools for Next-Level Sequencing Analysis
After covering QC and alignment tools in the first segment and variant analysis and genome assembly in the second segment, we’re wrapping up with a discussion about tools for differential gene expression analysis and data visualization. In this article, we include recommendations from the following experts: Dr. Mark Ziemann, Senior Lecturer in Biotechnology and Bioinformatics, Deakin University; Dr. Medhat Mahmoud Postdoctoral Research Fellow at Baylor College of Medicine;...05-23-2023, 12:26 PM
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