000000379 001__ 379
000000379 005__ 20250424232519.0
000000379 0247_ $$2DOI$$a10.6083/M4WD3XJH
000000379 037__ $$aETD
000000379 245__ $$aAn in silico assessment of alternatively spliced isoforms in the mouse brain using RNA-Seq
000000379 260__ $$bOregon Health and Science University
000000379 269__ $$a2009
000000379 336__ $$aThesis
000000379 502__ $$bM.S.
000000379 520__ $$aWith the advent of next-generation sequencing techniques like RNA-Seq, there is the potential for unbiased transcriptome-wide analysis of gene expression and alternative splicing irrespective of the abundance class of the transcript. A potential use for this technology is to help us understand the role that alternative splicing plays in brain region-specific differences.   In this study, we focused on two RNA-Seq datasets derived from the mouse brain, one from the striatum and the other from the whole brain.
000000379 540__ $$fCC BY
000000379 542__ $$fIn copyright - single owner
000000379 650__ $$aBase Sequence$$015378
000000379 650__ $$aAlternative Splicing$$029939
000000379 650__ $$aMice$$036842
000000379 650__ $$aRNA, Messenger$$025546
000000379 650__ $$aBrain$$015788
000000379 650__ $$aHigh-Throughput Nucleotide Sequencing$$039471
000000379 650__ $$aRNA-Seq$$013251
000000379 691__ $$aSchool of Medicine$$041369
000000379 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000000379 7001_ $$aBottomly, Daniel$$uOregon Health and Science University$$041354
000000379 7201_ $$aMcWeeney, Shannon$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000000379 8564_ $$97cab468a-9e23-4f2a-9e8c-20e26e146859$$s1715760$$uhttps://digitalcollections.ohsu.edu/record/379/files/380_etd.pdf$$ePublic$$2f1a593a59b25cb19aee8dc324e76d1ae$$31
000000379 905__ $$a/rest/prod/bv/73/c0/40/bv73c0402
000000379 909CO $$ooai:digitalcollections.ohsu.edu:379$$pstudent-work
000000379 980__ $$aBiomedical Informatics