Announcement

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

  • parser for sam?

    hello all

    I'm newbie and need advices..

    this is my first post here in seqanswers. help me out.

    what i'm trying to do is find DEGs in differently stress-treated groups.

    what i have been done are like this...

    i have raw seqs from 454 and sanger of each stress group.

    i've done pre-processing job so they are ready to be assembled.

    i combined clean reads of each group into one fasta file then i ran iAssembler.

    iAssembler gave me sam file and consensus file as an ouput.

    what i want to do is

    extract origin of reads distribution from unigene..

    like unigene one consists # of reads from stress group 1, # of reads from stress group2.. and so forth..

    not sure that i made myself clear. forgive my poor english

    want to know is this possible what i'm trying to do?

    and is there any parser that can achieve what i'm trying to do?

    thank you guys in advance.

  • #2
    Hi.
    Why do you combine stress-treated groups? You can run iAssembler in each groups.
    If there is a special reason to combine the reads, you can add tags to the read names using sed Linux command. After that you can easily identify your reads in the final SAM file.

    Comment

    Latest Articles

    Collapse

    • seqadmin
      Advanced Tools Transforming the Field of Cytogenomics
      by seqadmin


      At the intersection of cytogenetics and genomics lies the exciting field of cytogenomics. It focuses on studying chromosomes at a molecular scale, involving techniques that analyze either the whole genome or particular DNA sequences to examine variations in structure and behavior at the chromosomal or subchromosomal level. By integrating cytogenetic techniques with genomic analysis, researchers can effectively investigate chromosomal abnormalities related to diseases, particularly...
      09-26-2023, 06:26 AM
    • seqadmin
      How RNA-Seq is Transforming Cancer Studies
      by seqadmin



      Cancer research has been transformed through numerous molecular techniques, with RNA sequencing (RNA-seq) playing a crucial role in understanding the complexity of the disease. Maša Ivin, Ph.D., Scientific Writer at Lexogen, and Yvonne Goepel Ph.D., Product Manager at Lexogen, remarked that “The high-throughput nature of RNA-seq allows for rapid profiling and deep exploration of the transcriptome.” They emphasized its indispensable role in cancer research, aiding in biomarker...
      09-07-2023, 11:15 PM

    ad_right_rmr

    Collapse

    News

    Collapse

    Topics Statistics Last Post
    Started by seqadmin, Yesterday, 09:38 AM
    0 responses
    9 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 09-27-2023, 06:57 AM
    0 responses
    11 views
    0 likes
    Last Post seqadmin  
    Started by seqadmin, 09-26-2023, 07:53 AM
    1 response
    23 views
    0 likes
    Last Post seed_phrase_metal_storage  
    Started by seqadmin, 09-25-2023, 07:42 AM
    0 responses
    17 views
    0 likes
    Last Post seqadmin  
    Working...
    X