Header Leaderboard Ad

Collapse

454 data analysis & Mapping

Collapse

Announcement

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

  • 454 data analysis & Mapping

    Hi,

    I just got back data on a 454 run (.fna and .qual files) on some PCR amplicons. I am on the look out for a software program that can help me do the data analysis including sequence alignment, mapping of these sequences to a reference sequence/sequences etc. Can someone suggest?

    Thanks,
    JAG

  • #2
    You could start with the Roche 454 GS Amplicon Mapper. It's designed specifically to do exactly what you want on 454 data.

    Comment


    • #3
      Thanks Tony,

      I do not have access to the 454 instrument and as such that software. Is there any other easy to use software (trial version) that I can install on my PC and perform the data analysis?

      JAG

      Comment


      • #4
        I would get in contact with the sequencing provider and ask for access to the Roche software. That's one of only a few packages I know of which can deal with this problem, the others being commercial software like Clc genomics and perhaps Lasergene.

        Comment

        Latest Articles

        Collapse

        • seqadmin
          A Brief Overview and Common Challenges in Single-cell Sequencing Analysis
          by seqadmin


          ​​​​​​The introduction of single-cell sequencing has advanced the ability to study cell-to-cell heterogeneity. Its use has improved our understanding of somatic mutations1, cell lineages2, cellular diversity and regulation3, and development in multicellular organisms4. Single-cell sequencing encompasses hundreds of techniques with different approaches to studying the genomes, transcriptomes, epigenomes, and other omics of individual cells. The analysis of single-cell sequencing data i...

          01-24-2023, 01:19 PM
        • seqadmin
          Introduction to Single-Cell Sequencing
          by seqadmin
          Single-cell sequencing is a technique used to investigate the genome, transcriptome, epigenome, and other omics of individual cells using high-throughput sequencing. This technology has provided many scientific breakthroughs and continues to be applied across many fields, including microbiology, oncology, immunology, neurobiology, precision medicine, and stem cell research.

          The advancement of single-cell sequencing began in 2009 when Tang et al. investigated the single-cell transcriptomes
          ...
          01-09-2023, 03:10 PM

        ad_right_rmr

        Collapse
        Working...
        X