Bioinformatics Highlights


Bioinformatics | Cellomics | Genomics | Proteomics


The following items represent some of the more significant research publications and findings that the Bioinformatics division has been a part of. For more information please contact Li Liu, MD.


Novel algorithm improves the breast cancer prognosis performance: The I-RELIEF algorithm is applied on microarray data to identify a hybrid signature through the combination of both genetic and clinical markers for breast cancer prognosis. The performance is far higher than either genetic or clinical markers alone.
Sun Y, Goodison S, Li J, Liu L, Farmerie WG "Improved breast cancer prognosis through the combination of clinical and genetic markers" Bioinformatics. 2007, 23(1), 30-37
Aplysia neuronal transcriptome reveals brain mechanism: Analyzing the transcriptome of Aplysis (a marine snail) gains scientists an unprecedented look at brain mechanisms, discovering that the neural processes in even a simple sea creature are far from sluggish.
Moroz LL, Edwards JR, Puthanveettil SV, Kohn A, Ha T, Heyland A, Knudsen B, Sahni A, Yu F, Liu L, Jezzini S, Sadreyev R, Lovell P, Iannucculli W, Chen M, Nguyen T, Sheng H, Shaw R, Kalachikov S, Panchin Y, Farmerie WG, Russo JJ, Ju J, Kandel ER "The Neuronal Transcriptome of Aplysia californica: A Platform for the Neurogenomics of Defined Neurons, Neuronal Compartments and Neuronal Circuitry", Cell. 2006 Dec 29;127(7):1453-1467
Algorithm to identify gene loss helps scientist gain insights on evolution genomics.
BlastQuest system: for transcriptome analysis - a web-based database applications for storing, managing and analyzing EST sequences.
Farmerie WG, Hammer J, Liu L, Sahni A, Schneider M. "Biological Workflow with BlastQuest", Data & Knowledge Engineering, Volume 53, Issue 1, April 2005, Pages 75-97
Meta-analysis of prostate cancer microarray studies identifies gene sets related to oncogenes and key signaling pathways.
Liu L, Popp. M, Liu X, Farmerie WG, Casella G, Goodison S "A New Meta-Analysis Method for Microarray Studies", Florida Genetics Workshop 2005

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