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I have a chip-seq sample where a significant proportion of the reads have low quality bases at the end. Trimming these bases using sickle or Trimmomatic produces reads of unequal length. Is this a problem for macs? I see that one of the first things macs does is to estimate the tag size based on the first 10 tags in the sample which may - or may not - be representative. Is macs assuming equal length for all tags?
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Non-coding RNAs (ncRNAs) do not code for proteins but play important roles in numerous cellular processes including gene silencing, developmental pathways, and more. There are numerous types including microRNA (miRNA), long ncRNA (lncRNA), circular RNA (circRNA), and more. In this article, we discuss innovative ncRNA research and explore recent technological advancements that improve the study of ncRNAs.
Nobel Prize for MicroRNA Discovery
This week,...10-07-2024, 08:07 AM -
Metagenomics has improved the way researchers study microorganisms across diverse environments. Historically, studying microorganisms relied on culturing them in the lab, a method that limits the investigation of many species since most are unculturable1. Metagenomics overcomes these issues by allowing the study of microorganisms regardless of their ability to be cultured or the environments they inhabit. Over time, the field has evolved, especially with the advent...09-23-2024, 06:35 AM
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