Loci computational methods

  • What does loci mean in genetics?

    Locus is a term that we use to tell us where on a chromosome a specific gene is.
    So it's really the physical location of a gene on a chromosome.
    It's a way of defining the gene's neighborhood..

  • What is an example of a gene locus?

    The location of a gene (or of a significant sequence) on a chromosome or on a linkage map.
    For example, the locus of the gene OCA1 (or Oculocutaneous Albinism Type 1, the gene associated with albinism) is on 11q1..

  • What is loci in biology?

    A locus (or loci, plural) is the actual location of the gene on a region of a chromosome.
    An allele is a different form of a gene at a particular locus.
    The designation of two alleles at a particular locus is a genotype..

  • What is the difference between a locus and a loci?

    A locus refers to the location on the chromosome where the gene is found.
    Loci is the plural form of locus.
    The gene is located within a designated region on the chromosome and is composed of the different base pairs (GATC) that will give genetic instructions to the plant..

  • For example, the locus of gene OCA1 may be written "11q1. 4-q2. 1", meaning it is on the long arm of chromosome 11, somewhere in the range from sub-band 4 of region 1 to sub-band 1 of region 2.
    The ends of a chromosome are labeled "pter" and "qter", and so "2qter" refers to the terminus of the long arm of chromosome 2.
  • Mapping cell type-specific gene expression quantitative trait loci (ct-eQTLs) is a powerful way to investigate the genetic basis of complex traits.
    A popular method for ct-eQTL mapping is to assess the interaction between the genotype of a genetic locus and the abundance of a specific cell type using a linear model.
  • The single-cell expression quantitative trait locus (sc-eQTL) is emerging as a powerful tool to identify cell-type-specific regulation of gene expression.
Download Table | Computational methods to characterize risk loci function from publication: Principles for the post-GWAS functional characterisation of risk 
The advantage of the Loci framework is that it views the data-structures of a scientific computation abstractly as a relation. Computational kernels then read and write data using relational queries. Relations provide a mechanism for abstracting the data-structure from the computations.
The Loci framework was originally developed in the late 1990s with support from the NSF ERC for Computational Field Simulations to simplify the development of 

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