Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Please help!! Completely new to pre-processing Drop-Seq SRA file from database

    Dear all great helpers,

    I'm completely new to Drop-seq analysis, and I do have no clue how to preprocess Drop-Seq data acquired from SRA database. For example, I have tried downloading and spiting SRR11014434 data file. Now I have two fastq files as follows: SRR11014434_1.fastq and SRR11014434_2.fastq.

    I've started by learning from the Drop-seq cookbook (https://github.com/broadinstitute/Dr...t_Cookbook.pdf). As far as I understand the SRR11014434_2.fastq file contains data about the UMI and Cell barcode, while the SRR11014434_1.fastq file contains expression data of the cell.

    Since the cookbook demonstrate step-by-step starting from raw read counts acquired from sequencer, I'm now totally confused with what I'm doing. Some of the very basic but critical questions are as follows:

    1) Is the data already demultiplexed?
    2) Am I supposed to align SRR11014434_2.fastq by STAR? What should I do after this step? The cookbook talked about merging mapped and unmapped BAM file, tagging exon/gene annotations. But I totally how am I suppose to do this without the unmapped bam file (All I could think about is trying to include unmaaped read the output sam file acquired from STAR using --outSAMunmapped Within option and use it as the merged file).

    Please help me!!

    Kaj

Latest Articles

Collapse

  • seqadmin
    Essential Discoveries and Tools in Epitranscriptomics
    by seqadmin




    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
  • seqadmin
    Current Approaches to Protein Sequencing
    by seqadmin


    Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
    04-04-2024, 04:25 PM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, Today, 08:47 AM
0 responses
8 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-11-2024, 12:08 PM
0 responses
60 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 10:19 PM
0 responses
57 views
0 likes
Last Post seqadmin  
Started by seqadmin, 04-10-2024, 09:21 AM
0 responses
53 views
0 likes
Last Post seqadmin  
Working...
X