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@@ -1587,32 +1587,24 @@ Overview of bioinformatic analysis methods
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\end_layout
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\begin_layout Standard
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-\begin_inset Flex TODO Note (inline)
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+The studies presented in this work all involve the analysis of high-throughput
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+ genomic and epigenomic assay data.
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+ Assays like microarrays and
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+\begin_inset Flex Glossary Term
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status open
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\begin_layout Plain Layout
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-Also cite somewhere: R, Bioconductor
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+HTS
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\end_layout
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\end_inset
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-
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-\end_layout
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-
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-\begin_layout Itemize
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-Powerful methods for assaying gene expression and epigenetics across entire
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- genomes
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-\end_layout
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-
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-\begin_layout Itemize
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-Proper analysis requires finding and exploiting systematic genome-wide trends
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-\end_layout
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-
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-\begin_layout Standard
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-The studies presented in this work all involve the analysis of high-throughput
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- genomic and epigenomic assay data.
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- These data present many unique analysis challenges, and a wide array of
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- software tools are available to analyze them.
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+ are powerful methods for interrogating gene expression and empigenetic
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+ state across the entire genome.
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+ However, these data present many unique analysis challenges, and proper
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+ analysis requires identifying and exploiting genome-wide trends in the
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+ data to make up for the small sample sizes.
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+ A wide array of software tools is available to analyze these data.
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This section presents an overview of the most important methods and tools
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used throughout the following analyses, including what problems they solve,
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what assumptions they make, and a basic description of how they work.
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