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  • gringer
    replied
    Use supertranscripts as your reference genome:

    Building SuperTranscripts: A linear representation of transcriptome data - Oshlack/Lace


    Trinity RNA-Seq de novo transcriptome assembly. Contribute to trinityrnaseq/trinityrnaseq development by creating an account on GitHub.

    Leave a comment:


  • ASintsova
    replied
    I don't know much about plants, but it sounds like you might want to try to build de novo transcriptome assembly - https://www.sciencedirect.com/scienc...14662817301032

    Leave a comment:


  • DeDeoxys
    started a topic Differential Expression Analysis

    Differential Expression Analysis

    I am working with novel RNAseq data from a type of grass whose genome has not yet been completely sequenced or annotated. I have a number of FASTQ files with RNAseq data from different parts of the plant and am trying to conduct a differential expression analysis of these files. I was planning to use the DEGseq package in R to conduct the analysis, but from what I understand, this requires me to map the reads to an index to ultimately convert them to the .bed format and I would also need a reference genome file in the ucsc refFlat format. Since this plant genome has not even been sequenced, these files are unavailable, so I thought to map the reads to the genome of brachypodium distachyon, which is a model organism for grasses. I was able to create an index through bowtie using the genome from phytozome, but I have not been able to find a reference file for brachypodium in the reFlat or GTF format. Is there any way to convert to or create a reference file in the GTF or refFlat format, and am I even on the right track to conduct differential expression analysis on these files?
    I also have access to the original RNA assembly data which came from an illumina HiSeq. I'm not sure if this would be helpful.

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  • seqadmin
    Non-Coding RNA Research and Technologies
    by seqadmin




    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.

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    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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