Laboratory data and sample management for proteomics.

Research output: Chapter in Book/Report/Conference proceedingBook chapter

Standard

Laboratory data and sample management for proteomics. / Häkkinen, Jari; Levander, Fredrik.

Data Mining in Proteomics : From Standards to Applications. ed. / Michael Hamacher; Martin Eisenacher; Christian Stephan. Vol. 696 Springer, 2011. p. 79-92 (Methods in Molecular Biology; Vol. 696).

Research output: Chapter in Book/Report/Conference proceedingBook chapter

Harvard

Häkkinen, J & Levander, F 2011, Laboratory data and sample management for proteomics. in M Hamacher, M Eisenacher & C Stephan (eds), Data Mining in Proteomics : From Standards to Applications. vol. 696, Methods in Molecular Biology, vol. 696, Springer, pp. 79-92. https://doi.org/10.1007/978-1-60761-987-1_5

APA

Häkkinen, J., & Levander, F. (2011). Laboratory data and sample management for proteomics. In M. Hamacher, M. Eisenacher, & C. Stephan (Eds.), Data Mining in Proteomics : From Standards to Applications (Vol. 696, pp. 79-92). (Methods in Molecular Biology; Vol. 696). Springer. https://doi.org/10.1007/978-1-60761-987-1_5

CBE

Häkkinen J, Levander F. 2011. Laboratory data and sample management for proteomics. Hamacher M, Eisenacher M, Stephan C, editors. In Data Mining in Proteomics : From Standards to Applications. Springer. pp. 79-92. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-60761-987-1_5

MLA

Häkkinen, Jari and Fredrik Levander "Laboratory data and sample management for proteomics."., Hamacher, Michael Eisenacher, Martin Stephan, Christian (editors). Data Mining in Proteomics : From Standards to Applications. Methods in Molecular Biology. Springer. 2011, 79-92. https://doi.org/10.1007/978-1-60761-987-1_5

Vancouver

Häkkinen J, Levander F. Laboratory data and sample management for proteomics. In Hamacher M, Eisenacher M, Stephan C, editors, Data Mining in Proteomics : From Standards to Applications. Vol. 696. Springer. 2011. p. 79-92. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-60761-987-1_5

Author

Häkkinen, Jari ; Levander, Fredrik. / Laboratory data and sample management for proteomics. Data Mining in Proteomics : From Standards to Applications. editor / Michael Hamacher ; Martin Eisenacher ; Christian Stephan. Vol. 696 Springer, 2011. pp. 79-92 (Methods in Molecular Biology).

RIS

TY - CHAP

T1 - Laboratory data and sample management for proteomics.

AU - Häkkinen, Jari

AU - Levander, Fredrik

PY - 2011

Y1 - 2011

N2 - Proteomic experiments can be difficult to handle because of the large amount of data in different formats that is generated. Samples need to be managed and generated, data needs to be integrated with samples and annotation information. A laboratory information management system (LIMS) can be used to overcome some of the data handling problems. In this chapter, we discuss the role of a LIMS in the proteomics laboratory, and show two step-by-step examples of usage of the Proteios Software Environment (ProSE) to handle two different proteomics workflows.

AB - Proteomic experiments can be difficult to handle because of the large amount of data in different formats that is generated. Samples need to be managed and generated, data needs to be integrated with samples and annotation information. A laboratory information management system (LIMS) can be used to overcome some of the data handling problems. In this chapter, we discuss the role of a LIMS in the proteomics laboratory, and show two step-by-step examples of usage of the Proteios Software Environment (ProSE) to handle two different proteomics workflows.

U2 - 10.1007/978-1-60761-987-1_5

DO - 10.1007/978-1-60761-987-1_5

M3 - Book chapter

SN - 978-1-60761-986-4

VL - 696

T3 - Methods in Molecular Biology

SP - 79

EP - 92

BT - Data Mining in Proteomics : From Standards to Applications

A2 - Hamacher, Michael

A2 - Eisenacher, Martin

A2 - Stephan, Christian

PB - Springer

ER -