Tweet
Those aren't raw counts, they're estimated raw counts.
Hint: don't try to coerce cufflinks data into DESeq.
Hint: don't try to coerce cufflinks data into DESeq.
-
-
So, you saw that since these are estimated raw counts and they are coming from cufflinks which are infact considering noise for duplicate read counts as well. However for DESeq we donot consider the duplicate read counts right? For DESeq each counting unit is evidence of one sequencing read. So we should not consider this estimated raw count and rather generate the raw count using HT-Seq for my data and then use them for DESeq analysis? Is that what you want to mean?Comment
-
The validity of the statistical model used by DESeq depends on its input being integer read counts directly from individual samples. Trying to use anything else will just produce unreliable results.
So yes, use htseq-count to generate your count matrix.Comment
-
The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...Today, 07:48 AM -
The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...04-22-2024, 07:01 AM
Comment