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Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics.

BMC bioinformatics

Brusniak MY, Bodenmiller B, Campbell D, Cooke K, Eddes J, Garbutt A, Lau H, Letarte S, Mueller LN, Sharma V, Vitek O, Zhang N, Aebersold R, Watts JD.
PMID: 19087345
BMC Bioinformatics. 2008 Dec 16;9:542. doi: 10.1186/1471-2105-9-542.

BACKGROUND: Quantitative proteomics holds great promise for identifying proteins that are differentially abundant between populations representing different physiological or disease states. A range of computational tools is now available for both isotopically labeled and label-free liquid chromatography mass spectrometry...

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Brusniak MY, Bodenmiller B, Campbell D, et al. Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics. BMC Bioinformatics. 2008;9:542doi: 10.1186/1471-2105-9-542.
Brusniak, M. Y., Bodenmiller, B., Campbell, D., Cooke, K., Eddes, J., Garbutt, A., Lau, H., Letarte, S., Mueller, L. N., Sharma, V., Vitek, O., Zhang, N., Aebersold, R., & Watts, J. D. (2008). Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics. BMC bioinformatics, 9542. https://doi.org/10.1186/1471-2105-9-542
Brusniak, Mi-Youn, et al. "Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics." BMC bioinformatics vol. 9 (2008): 542. doi: https://doi.org/10.1186/1471-2105-9-542
Brusniak MY, Bodenmiller B, Campbell D, Cooke K, Eddes J, Garbutt A, Lau H, Letarte S, Mueller LN, Sharma V, Vitek O, Zhang N, Aebersold R, Watts JD. Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics. BMC Bioinformatics. 2008 Dec 16;9:542. doi: 10.1186/1471-2105-9-542. PMID: 19087345; PMCID: PMC2651178.
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Validation of the performance of a comprehensive genotyping assay panel of single nucleotide polymorphisms in drug metabolism enzyme genes.

Human mutation

Welch RA, Lazaruk K, Haque KA, Hyland F, Xiao N, Wronka L, Burdett L, Chanock SJ, Ingber D, De La Vega FM, Yeager M.
PMID: 18327779
Hum Mutat. 2008 May;29(5):750-6. doi: 10.1002/humu.20703.

A class of genes, known as drug metabolism enzymes (DMEs) are responsible for the metabolism and transport of drugs and other xenobiotics. Variation in DME genes most likely accounts for a proportion of the variability in drug response in...

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Welch RA, Lazaruk K, Haque KA, et al. Validation of the performance of a comprehensive genotyping assay panel of single nucleotide polymorphisms in drug metabolism enzyme genes. Hum Mutat. 2008;29(5):750-6doi: 10.1002/humu.20703.
Welch, R. A., Lazaruk, K., Haque, K. A., Hyland, F., Xiao, N., Wronka, L., Burdett, L., Chanock, S. J., Ingber, D., De La Vega, F. M., & Yeager, M. (2008). Validation of the performance of a comprehensive genotyping assay panel of single nucleotide polymorphisms in drug metabolism enzyme genes. Human mutation, 29(5), 750-6. https://doi.org/10.1002/humu.20703
Welch, Robert A, et al. "Validation of the performance of a comprehensive genotyping assay panel of single nucleotide polymorphisms in drug metabolism enzyme genes." Human mutation vol. 29,5 (2008): 750-6. doi: https://doi.org/10.1002/humu.20703
Welch RA, Lazaruk K, Haque KA, Hyland F, Xiao N, Wronka L, Burdett L, Chanock SJ, Ingber D, De La Vega FM, Yeager M. Validation of the performance of a comprehensive genotyping assay panel of single nucleotide polymorphisms in drug metabolism enzyme genes. Hum Mutat. 2008 May;29(5):750-6. doi: 10.1002/humu.20703. PMID: 18327779.
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bioDBnet: the biological database network.

Bioinformatics (Oxford, England)

Mudunuri U, Che A, Yi M, Stephens RM.
PMID: 19129209
Bioinformatics. 2009 Feb 15;25(4):555-6. doi: 10.1093/bioinformatics/btn654. Epub 2009 Jan 07.

SUMMARY: bioDBnet is an online web resource that provides interconnected access to many types of biological databases. It has integrated many of the most commonly used biological databases and in its current state has 153 database identifiers (nodes) covering...

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Mudunuri U, Che A, Yi M, et al. bioDBnet: the biological database network. Bioinformatics. 2009;25(4):555-6doi: 10.1093/bioinformatics/btn654.
Mudunuri, U., Che, A., Yi, M., & Stephens, R. M. (2009). bioDBnet: the biological database network. Bioinformatics (Oxford, England), 25(4), 555-6. https://doi.org/10.1093/bioinformatics/btn654
Mudunuri, Uma, et al. "bioDBnet: the biological database network." Bioinformatics (Oxford, England) vol. 25,4 (2009): 555-6. doi: https://doi.org/10.1093/bioinformatics/btn654
Mudunuri U, Che A, Yi M, Stephens RM. bioDBnet: the biological database network. Bioinformatics. 2009 Feb 15;25(4):555-6. doi: 10.1093/bioinformatics/btn654. Epub 2009 Jan 07. PMID: 19129209; PMCID: PMC2642638.
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In-silico nanobio-design. A new frontier in computational biology.

Current topics in medicinal chemistry

Cachau RE, Gonzalez-Nilo FD, Ventura ON, Fritts MJ.
PMID: 17897041
Curr Top Med Chem. 2007;7(15):1537-40. doi: 10.2174/156802607782194680.

Nanobiology is a fast-emerging discipline that brings the tools of nanotechnology to the biological sciences. The introduction of new techniques may accelerate the development of highly specific biomedical treatments, increase their efficiency, and minimize their side effects. Introducing foreign...

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Cachau RE, Gonzalez-Nilo FD, Ventura ON, et al. In-silico nanobio-design. A new frontier in computational biology. Curr Top Med Chem. 2007;7(15):1537-40doi: 10.2174/156802607782194680.
Cachau, R. E., Gonzalez-Nilo, F. D., Ventura, O. N., & Fritts, M. J. (2007). In-silico nanobio-design. A new frontier in computational biology. Current topics in medicinal chemistry, 7(15), 1537-40. https://doi.org/10.2174/156802607782194680
Cachau, Raul E, et al. "In-silico nanobio-design. A new frontier in computational biology." Current topics in medicinal chemistry vol. 7,15 (2007): 1537-40. doi: https://doi.org/10.2174/156802607782194680
Cachau RE, Gonzalez-Nilo FD, Ventura ON, Fritts MJ. In-silico nanobio-design. A new frontier in computational biology. Curr Top Med Chem. 2007;7(15):1537-40. doi: 10.2174/156802607782194680. PMID: 17897041.
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Showing 1 to 4 of 4 entries