Conclude introduction with DL and bioinformatics
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@@ -331,7 +331,7 @@
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\usepackage{booktabs} % Proper formatting of tables
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\usepackage{siunitx} % Proper formatting of units
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\usepackage{mhchem} % Proper formatting of chemicals
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\usepackage{lipsum} % Insertion of arbitrary content
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\usepackage{longtable} % Proper rendering of tables in pandoc
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@@ -395,6 +395,10 @@
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\def\fps@figure{htbp}
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\makeatother
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% Define tightlist
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\providecommand{\tightlist}{%
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\setlength{\itemsep}{0pt}\setlength{\parskip}{0pt}}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%
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@@ -723,3 +723,52 @@
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biburl = {https://dblp.org/rec/journals/corr/WangRX17.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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@Inbook{Can2014,
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author = "Can, Tolga",
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editor = "Yousef, Malik and Allmer, Jens",
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title = "Introduction to Bioinformatics",
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bookTitle = "miRNomics: MicroRNA Biology and Computational Analysis",
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year = 2014,
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publisher = "Humana Press",
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address = "Totowa, NJ",
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pages = "51--71",
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abstract = "Bioinformatics is an interdisciplinary field mainly
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involving molecular biology and genetics, computer science,
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mathematics, and statistics. Data intensive, large-scale
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biological problems are addressed from a computational point
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of view. The most common problems are modeling biological
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processes at the molecular level and making inferences from
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collected data. A bioinformatics solution usually involves the
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following steps:Collect statistics from biological data.Build
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a computational model.Solve a computational modeling
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problem.Test and evaluate a computational algorithm.",
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isbn = "978-1-62703-748-8",
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doi = "10.1007/978-1-62703-748-8_4",
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url = "https://doi.org/10.1007/978-1-62703-748-8_4"
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}
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@Article{Hagen2000,
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author = {Hagen, Joel B.},
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title = {The origins of bioinformatics},
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journal = {Nature Reviews Genetics},
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year = 2000,
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month = {Dec},
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day = 01,
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volume = 1,
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number = 3,
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pages = {231-236},
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abstract = {Bioinformatics is often described as being in its infancy,
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but computers emerged as important tools in molecular biology
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during the early 1960s. A decade before DNA sequencing became
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feasible, computational biologists focused on the rapidly
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accumulating data from protein biochemistry. Without the
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benefits of supercomputers or computer networks, these
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scientists laid important conceptual and technical foundations
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for bioinformatics today.},
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issn = {1471-0064},
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doi = {10.1038/35042090},
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url = {https://doi.org/10.1038/35042090}
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}
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