Add support for CITATION.cff (#39)

GitHub
[supports](https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files)
having a `CITATION.cff` file to add a citation option to your
repository, added a `CITATION.cff` based off of
<https://doi.org/10.1111/tpj.14468>.

Author: asherpasha

.gitignore

@@ -32,6 +32,7 @@ renv/lock
 renv/python
 renv/sandbox
 renv/staging
+renv/.gitignore
 
 # Python virtual environment
 venv/

CITATION.cff

@@ -0,0 +1,102 @@
+cff-version: 1.2.0
+title: eFP-Seq Browser
+message: >-
+    An 'eFP-Seq Browser' for visualizing and exploring RNA
+    sequencing data
+type: software
+authors:
+    - given-names: Alexander
+      family-names: Sullivan
+      email: alexjsully.connect@outlook.com
+      orcid: "https://orcid.org/0000-0002-4463-4473"
+    - given-names: Priyank K.
+      family-names: Purohit
+    - given-names: Nowlan H.
+      family-names: Freese
+    - given-names: Asher
+      family-names: Pasha
+      orcid: "https://orcid.org/0000-0002-9315-0520"
+    - given-names: Eddi
+      family-names: Esteban
+      orcid: "https://orcid.org/0000-0001-9016-9202"
+    - given-names: Jamie
+      family-names: Waese
+    - given-names: Alison
+      family-names: Wu
+    - given-names: Michelle
+      family-names: Chen
+    - given-names: Chih Y.
+      family-names: Chin
+    - given-names: Richard
+      family-names: Song
+    - given-names: Sneha R.
+      family-names: Watharkar
+    - given-names: Agnes P.
+      family-names: Chan
+    - given-names: Vivek
+      family-names: Krishnakumar
+    - given-names: Matthew W.
+      family-names: Vaughn
+    - given-names: Chris
+      family-names: Town
+    - given-names: Ann E.
+      family-names: Loraine
+      affiliation: University of North Carolina
+      email: ann.loraine@uncc.edu
+    - given-names: Nicholas J.
+      family-names: Provart
+      orcid: "https://orcid.org/0000-0001-5551-7232"
+      email: nicholas.provart@utoronto.ca
+      affiliation: University of Toronto
+identifiers:
+    - type: doi
+      value: 10.1111/tpj.14468
+repository-code: "https://github.com/BioAnalyticResource/eFP-Seq_Browser"
+url: "https://bar.utoronto.ca/eFP-Seq_Browser/"
+abstract: >-
+    Improvements in next-generation sequencing technologies
+    have resulted in dramatically reduced sequencing costs.
+    This has led to an explosion of '-seq'-based methods, of
+    which RNA sequencing (RNA-seq) for generating
+    transcriptomic data is the most popular. By analysing
+    global patterns of gene expression in organs/tissues/cells
+    of interest or in response to chemical or environmental
+    perturbations, researchers can better understand an
+    organism's biology. Tools designed to work with large
+    RNA-seq data sets enable analyses and visualizations to
+    help generate hypotheses about a gene's function. We
+    present here a user-friendly RNA-seq data exploration
+    tool, called the 'eFP-Seq Browser', that shows the read
+    map coverage of a gene of interest in each of the samples
+    along with 'electronic fluorescent pictographic' (eFP)
+    images that serve as visual representations of expression
+    levels. The tool also summarizes the details of each
+    RNA-seq experiment, providing links to archival databases
+    and publications. It automatically computes the reads per
+    kilobase per million reads mapped expression-level
+    summaries and point biserial correlation scores to sort
+    the samples based on a gene's expression level or by how
+    dissimilar the read map profile is from a gene splice
+    variant, to quickly identify samples with the strongest
+    expression level or where alternative splicing might be
+    occurring. Links to the Integrated Genome Browser desktop
+    visualization tool allow researchers to visualize and
+    explore the details of RNA-seq alignments summarized in
+    eFP-Seq Browser as coverage graphs. We present four cases
+    of use of the eFP-Seq Browser for ABI3, SR34, SR45a and
+    U2AF65B, where we examine expression levels and identify
+    alternative splicing. The URL for the browser is
+    https://bar.utoronto.ca/eFP-Seq_Browser/.
+keywords:
+    - bioinformatics
+    - computational biology
+    - rna-seq
+    - data visualization
+    - arabidopsis thaliana
+    - rna-seq mapping
+    - alternative splicing
+    - web application
+license: GPL-2.0
+commit: a5b952bf2df11e9c8538b372f2ee0d3c23d1fa90
+version: 1.3.15
+date-released: "2024-01-15"