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» Integrative Analysis of Transcriptome and Metabolome Data
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BMCBI
2008
105views more  BMCBI 2008»
13 years 7 months ago
SIGMA2: A system for the integrative genomic multi-dimensional analysis of cancer genomes, epigenomes, and transcriptomes
Background: High throughput microarray technologies have afforded the investigation of genomes, epigenomes, and transcriptomes at unprecedented resolution. However, software packa...
Raj Chari, Bradley P. Coe, Craig Wedseltoft, Marie...
BMCBI
2010
133views more  BMCBI 2010»
13 years 7 months ago
Consolidating metabolite identifiers to enable contextual and multi-platform metabolomics data analysis
Background: Analysis of data from high-throughput experiments depends on the availability of well-structured data that describe the assayed biomolecules. Procedures for obtaining ...
Henning Redestig, Miyako Kusano, Atsushi Fukushima...
BMCBI
2008
83views more  BMCBI 2008»
13 years 7 months ago
Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells
Background: Microarray technology has unveiled transcriptomic differences among tumors of various phenotypes, and, especially, brought great progress in molecular understanding of...
Atsushi Niida, Andrew D. Smith, Seiya Imoto, Shuic...
BMCBI
2010
89views more  BMCBI 2010»
13 years 7 months ago
Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS)
Background: Nuclear magnetic resonance spectroscopy is one of the primary tools in metabolomics analyses, where it is used to track and quantify changes in metabolite concentratio...
Jennifer M. Staab, Thomas M. O'Connell, Shawn M. G...
BMCBI
2011
12 years 11 months ago
AMDORAP: Non-targeted metabolic profiling based on high-resolution LC-MS
Background: Liquid chromatography-mass spectrometry (LC-MS) utilizing the high-resolution power of an orbitrap is an important analytical technique for both metabolomics and prote...
Hiroki Takahashi, Takuya Morimoto, Naotake Ogasawa...