Literature DB >> 21610667

Genomic MRI--a public resource for studying sequence patterns within genomic DNA.

Ashwin Prakash1, Jason Bechtel, Alexei Fedorov.   

Abstract

Non-coding genomic regions in complex eukaryotes, including intergenic areas, introns, and untranslated segments of exons, are profoundly non-random in their nucleotide composition and consist of a complex mosaic of sequence patterns. These patterns include so-called Mid-Range Inhomogeneity (MRI) regions--sequences 30-10000 nucleotides in length that are enriched by a particular base or combination of bases (e.g. (G+T)-rich, purine-rich, etc.). MRI regions are associated with unusual (non-B-form) DNA structures that are often involved in regulation of gene expression, recombination, and other genetic processes (Fedorova & Fedorov 2010). The existence of a strong fixation bias within MRI regions against mutations that tend to reduce their sequence inhomogeneity additionally supports the functionality and importance of these genomic sequences (Prakash et al. 2009). Here we demonstrate a freely available Internet resource--the Genomic MRI program package--designed for computational analysis of genomic sequences in order to find and characterize various MRI patterns within them (Bechtel et al. 2008). This package also allows generation of randomized sequences with various properties and level of correspondence to the natural input DNA sequences. The main goal of this resource is to facilitate examination of vast regions of non-coding DNA that are still scarcely investigated and await thorough exploration and recognition.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21610667      PMCID: PMC3197106          DOI: 10.3791/2663

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  2 in total

1.  Evolution of genomic sequence inhomogeneity at mid-range scales.

Authors:  Ashwin Prakash; Samuel S Shepard; Jie He; Benjamin Hart; Miao Chen; Surya P Amarachintha; Olga Mileyeva-Biebesheimer; Jason Bechtel; Alexei Fedorov
Journal:  BMC Genomics       Date:  2009-11-05       Impact factor: 3.969

2.  Genomic mid-range inhomogeneity correlates with an abundance of RNA secondary structures.

Authors:  Jason M Bechtel; Thomas Wittenschlaeger; Trisha Dwyer; Jun Song; Sasi Arunachalam; Sadeesh K Ramakrishnan; Samuel Shepard; Alexei Fedorov
Journal:  BMC Genomics       Date:  2008-06-12       Impact factor: 3.969

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.