2014
DOI: 10.1007/978-1-4939-2175-1_5
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Analysis of Poly(A) Site Choice Using a Java-Based Clustering Algorithm

Abstract: Modern high-throughput DNA sequencing has the potential to generate large volumes of data for analysis by investigators-including poly(A) site data. Here I describe a computational method to compare poly(A) site choice differences between two large data sets based on the relative abundance and position of tags within each reference sequence to which they are aligned. This method provides rapid quantification and visualization of differences and similarities in poly(A) site choice between the two datasets.

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“…Several quality control measures were used to evaluate the qualities of the PATseq libraries. These included determinations of the consistencies of poly(A) site choice between replicates using the ‘PATAPP’ tool (Thomas, ), confirmation of individual 3´‐ends using a different 3´‐end sequencing strategy, and comparison of gene expressions using PATseq reads. Details concerning the library preparation, mappings, and quality control analyses are described in Appendix S1.…”
Section: Methodsmentioning
confidence: 99%
“…Several quality control measures were used to evaluate the qualities of the PATseq libraries. These included determinations of the consistencies of poly(A) site choice between replicates using the ‘PATAPP’ tool (Thomas, ), confirmation of individual 3´‐ends using a different 3´‐end sequencing strategy, and comparison of gene expressions using PATseq reads. Details concerning the library preparation, mappings, and quality control analyses are described in Appendix S1.…”
Section: Methodsmentioning
confidence: 99%
“…This final library was quantified using a Qubit and submitted for sequencing on an Illumina HiSeq2500 instrument at the University of Kentucky HealthCare Genomics Core Laboratory. PATSeq reads were analyzed using the pipeline described in the preceding paragraph and elsewhere ( Thomas et al., 2012 ; Thomas, 2015 ; de Lorenzo et al., 2017 ). These sequencing data are available under Bioproject PRJNA1023006.…”
Section: Methodsmentioning
confidence: 99%