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Journal Articles: Genetics, Cell Biology & Anatomy

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Full-Text Articles in Medical Anatomy

De Novo Assembly Of The Chimpanzee Transcriptome From Nextgen Mrna Sequences, Mnirnal D. Maudhoo, Jacob D. Madison, Robert B. Norgren Jan 2015

De Novo Assembly Of The Chimpanzee Transcriptome From Nextgen Mrna Sequences, Mnirnal D. Maudhoo, Jacob D. Madison, Robert B. Norgren

Journal Articles: Genetics, Cell Biology & Anatomy

BACKGROUND: Common chimpanzees (Pan troglodytes) and bonobos (Pan paniscus) are the species most closely related to humans. For this reason, it is especially important to have complete and accurate chimpanzee nucleotide and protein sequences to understand how humans evolved their unique capabilities. We provide transcriptome data from four untransformed cell types derived from the reference Pan troglodytes, "Clint", to better annotate the chimpanzee genome and provide empirical validation for proposed gene models of this important species.

FINDINGS: RNA was extracted from primary cells cultured from four tissues: skin, adipose stroma, vascular smooth muscle and skeletal muscle. These four RNA samples …


Accurate Molecular Classification Of Cancer Using Simple Rules., Xiaosheng Wang, Osamu Gotoh Oct 2009

Accurate Molecular Classification Of Cancer Using Simple Rules., Xiaosheng Wang, Osamu Gotoh

Journal Articles: Genetics, Cell Biology & Anatomy

BACKGROUND: One intractable problem with using microarray data analysis for cancer classification is how to reduce the extremely high-dimensionality gene feature data to remove the effects of noise. Feature selection is often used to address this problem by selecting informative genes from among thousands or tens of thousands of genes. However, most of the existing methods of microarray-based cancer classification utilize too many genes to achieve accurate classification, which often hampers the interpretability of the models. For a better understanding of the classification results, it is desirable to develop simpler rule-based models with as few marker genes as possible.

METHODS: …