Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • yujiro
    Junior Member
    • Jul 2010
    • 5

    GRCh37: how to use lates patches

    I would like to know how to assemble human refefence genome GRCh37 from individual chromosome files and latest patches.

    This is ensembl's ftp site which lists >300 fasta files.
    ftp://ftp.ensembl.org/pub/release-67...o_sapiens/dna/

    For primary assembly, one might simply concatenate chromosome 1, 2, ..., X, and Y. However, X and Y chromosomes share pseudoautosomal region (PAR) as README points out. I could just leave out Y chromosome since I work on K562 cells, but otherwise what am I supposed to do? There is a big file called toplevel.fa which appears to have PAR sequenes masked, but does it contain all chromosomes and patches? README does not say anything about its content.

    There seem to be two kinds of patches: fixes and novel additions. How are these patches correctly incorporated into the primary assembly? Is there a utility software to handle this? Or are patches treated as separate entities (e.g. as PATCH_xxx instead of being integrated into chromosome proper)?

    Thank you for your very kind help.
    Last edited by yujiro; 07-13-2012, 03:20 AM.

Latest Articles

Collapse

  • 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
  • SEQadmin2
    Cancer Drug Resistance: The Lingering Barrier to Rising Survival
    by SEQadmin2



    Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

    There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
    07-08-2026, 05:17 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, Today, 12:17 PM
0 responses
5 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, Yesterday, 11:41 AM
0 responses
10 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-20-2026, 11:10 AM
0 responses
23 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 07-13-2026, 10:26 AM
0 responses
37 views
0 reactions
Last Post SEQadmin2  
Working...