From afa3e49a76b1bf280b17bb302b2b92a068abd858 Mon Sep 17 00:00:00 2001
From: Clare <chorscroft@users.noreply.github.com>
Date: Wed, 5 Aug 2020 00:37:16 +0100
Subject: [PATCH] Added Tim's ORCiD
---
paper/paper.md | 9 ++++-----
1 file changed, 4 insertions(+), 5 deletions(-)
diff --git a/paper/paper.md b/paper/paper.md
index ec67e2e..9ef552e 100644
--- a/paper/paper.md
+++ b/paper/paper.md
@@ -1,6 +1,5 @@
---
-title: 'zalpha: an R package for the identification of regions of the genome under
- selection'
+title: 'zalpha: an R package for the identification of regions of the genome under selection'
tags:
- R
- genomics
@@ -22,14 +21,14 @@ authors:
orcid: 0000-0001-7022-645X
affiliation: 1, 3
- name: Timothy J Sluckin
+ orcid: 0000-0002-9163-0061
affiliation: 2
- name: Andrew Collins
orcid: 0000-0001-7108-0771
affiliation: 1, 3
bibliography: paper.bib
affiliations:
-- name: Genetic Epidemiology and Bioinformatics, Faculty of Medicine, University of
- Southampton
+- name: Genetic Epidemiology and Bioinformatics, Faculty of Medicine, University of Southampton
index: 1
- name: Mathematical Sciences, University of Southampton
index: 2
@@ -65,7 +64,7 @@ Correlation, in the context of genetics, is the ability to predict the value of
When a selective sweep occurs, the locus under selection becomes more frequent in the population, as individuals possessing the beneficial allele are more likely to survive and reproduce. When this happens, variants nearby the selected locus will also sweep, a phenomenon known as “hitchhiking” [@Maynard:1974]. This creates a region of the genome that is highly correlated. Eventually recombination will erode away these correlations.
-`zalpha` allows the user to apply a range of statistics to phased genetic data. \autoref{fig:Figure1}B shows a target locus with a window, the size of which is set by the user, centred on the locus. Any SNPs either side that fall within the window to the left and right of the target locus are contained within sets L and R respectively. The statistic $Z_{\alpha}$, after which the package is named, is defined as:
+`zalpha` allows the user to apply a range of statistics to genetic data. \autoref{fig:Figure1}B shows a target locus with a window, the size of which is set by the user, centred on the locus. Any SNPs either side that fall within the window to the left and right of the target locus are contained within sets L and R respectively. The statistic $Z_{\alpha}$, after which the package is named, is defined as:
\begin{equation}\label{eq:Zalpha}
{Z_{\alpha}=\frac{{|L| \choose 2}^{-1}\sum_{i,j \in L}r^2_{i,j} + {|R| \choose 2}^{-1}\sum_{i,j \in L}r^2_{i,j}}{2}}
\end{equation}
--
GitLab