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» Microarray Gene Expression Data Analysis
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BMCBI
2010
144views more  BMCBI 2010»
14 years 9 months ago
Finding sRNA generative locales from high-throughput sequencing data with NiBLS
Background: Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the seque...
Daniel MacLean, Vincent Moulton, David J. Studholm...
BMCBI
2011
14 years 1 months ago
PRIN, a predicted rice interactome network
Background: Protein-protein interactions play a fundamental role in elucidating the molecular mechanisms of biomolecular function, signal transductions and metabolic pathways of l...
Haibin Gu, Pengcheng Zhu, Yinming Jiao, Yijun Meng...
BMCBI
2007
147views more  BMCBI 2007»
14 years 9 months ago
Predicting combinatorial binding of transcription factors to regulatory elements in the human genome by association rule mining
Background: Cis-acting transcriptional regulatory elements in mammalian genomes typically contain specific combinations of binding sites for various transcription factors. Althoug...
Xochitl C. Morgan, Shulin Ni, Daniel P. Miranker, ...
BMCBI
2010
129views more  BMCBI 2010»
14 years 9 months ago
Geoseq: a tool for dissecting deep-sequencing datasets
Background: Datasets generated on deep-sequencing platforms have been deposited in various public repositories such as the Gene Expression Omnibus (GEO), Sequence Read Archive (SR...
James Gurtowski, Anthony Cancio, Hardik Shah, Chay...
BMCBI
2007
147views more  BMCBI 2007»
14 years 9 months ago
Statistical significance of quantitative PCR
Background: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection...
Yann Karlen, Alan McNair, Sébastien Persegu...