Eric C. Rouchka, D.Sc.

Affiliations: 
Computer Engineering and Computer Science University of Louisville, Louisville, KY, United States 
Website:
http://bioinformatics.louisville.edu/lab/
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"Eric Rouchka"

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David J. States grad student 1996-2002 Washington University
 (Assembly and compositional analysis of human genomic data.)
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Publications

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Rouchka E, de Almeida C, House R, et al. (2023) Construction of a searchable database for gene expression changes in spinal cord injury experiments. Journal of Neurotrauma
Rouchka EC, de Almeida C, House RB, et al. (2023) Construction of a searchable database for gene expression changes in spinal cord injury experiments. Biorxiv : the Preprint Server For Biology
Hwang JY, Jung S, Kook TL, et al. (2020) rMAPS2: an update of the RNA map analysis and plotting server for alternative splicing regulation. Nucleic Acids Research
Chariker JH, Sharp M, Ohri SS, et al. (2020) RNA-seq data of soleus muscle tissue after spinal cord injury under conditions of inactivity and applied exercise. Data in Brief. 28: 105056
Li X, Cooper NGF, O'Toole TE, et al. (2020) Choice of library size normalization and statistical methods for differential gene expression analysis in balanced two-group comparisons for RNA-seq studies. Bmc Genomics. 21: 75
Rouchka EC, Flight RM, Fasciotto BH, et al. (2019) Dataset for dose and time-dependent transcriptional response to ionizing radiation exposure. Data in Brief. 27: 104624
Scalf CS, Chariker JH, Rouchka EC, et al. (2019) Transcriptomic analysis of immune response to bacterial lipopolysaccharide in zebra finch (Taeniopygia guttata). Bmc Genomics. 20: 647
Chariker JH, Ohri SS, Gomes C, et al. (2019) Activity/exercise-induced changes in the liver transcriptome after chronic spinal cord injury. Scientific Data. 6: 88
Chariker JH, Gomes C, Brabazon F, et al. (2019) Transcriptome of dorsal root ganglia caudal to a spinal cord injury with modulated behavioral activity. Scientific Data. 6: 83
Harrison BJ, Park JW, Gomes C, et al. (2019) Detection of Differentially Expressed Cleavage Site Intervals Within 3' Untranslated Regions Using CSI-UTR Reveals Regulated Interaction Motifs. Frontiers in Genetics. 10: 182
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