Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • barbarian
    Member
    • Feb 2015
    • 21

    #1

    TFBS prediction algorithms

    Hello,

    So, I've got a task to predict pairs of TF-target gene via binding site. After done some research, I've got a general idea and I want to share my idea here to hear your opinion or expertise. Note: I'm still a beginner and sorry if I have a lot of mistakes.

    To predict a binding site, the first things I need is both the transcription factor sequence and target gene promoter region.

    To get the TF sequence, I think I need to use cDNA sequence for its transcript. I use ensembl, so I think I need cDNA fasta file which contains ENST id. I come in conclusion to use the transcript sequence because the protein which binds to the target gene come after alternative splicing so transcript sequence is the most suitable.

    To get the target gene promoter region, I need to use the full human genome reference and do some rough estimates where TF will bind in the non coding area before the coding region start/exon. I also need to estimate every possible non coding region between coding region for a gene. So, I think I will have several regions for a single target gene. I will need to extract the sequence of these regions.

    After I have the transcript sequence and the possible binding regions, I need to use alignment algorithm to check if the binding possible or not. I also need to check for both directions, forward and reverse strand.

    What do you think about my workflow?

Latest Articles

Collapse

  • SEQadmin2
    Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
    by SEQadmin2



    CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

    Despite this, “CRISPR helped turn genome editing from a specialized technique into
    ...
    07-31-2026, 11:01 AM
  • SEQadmin2
    Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
    by SEQadmin2


    Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

    The systematic characterization of the human proteome has
    ...
    07-20-2026, 11:48 AM
  • SEQadmin2
    Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
    by SEQadmin2



    Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
    ...
    07-09-2026, 11:10 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, 07-31-2026, 02:55 AM
0 responses
18 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-24-2026, 12:17 PM
0 responses
16 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-23-2026, 11:41 AM
0 responses
15 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-20-2026, 11:10 AM
0 responses
26 views
0 reactions
Last Post SEQadmin2  
Working...