Latest Posters

Enzyme kinetic measurements performed on BMG LABTECH´s FLUOstar OPTIMA
, BMG LABTECH

BMG LABTECH has developed a new evaluation software feature able to calculate the Km value as well as the maximal velocity (Vmax) from an enzymatic kinetic measurement.
Enzymes differ in their affinity to specific substrates and this affinity is represented by the Michaelis-Menten constant Km. The new software feature for enzyme kinetic offers fast and easy calculation of Km and Vmax. Available plots are the common Michaelis-Menten, Lineweaver-Burk, Eadie-Hofstee, Scatchard and Hanes kinetic f

Feasibility study through design and implementation of a web services based RFID solution
Arunabh Chattopadhyay,
UCLA

The implementation of an RFID solution based on web services is demonstrated. The solution has three components.

Nucleic Acid Reagents and Experimental Results in the NCBI Probe Database
Svetlana Iazvovskaia, Ilene Karsch Mizrachi, Kirill Rotmistrovsky, and Savani Tatake,
National Center for Biotechnology Information, NIH, Bethesda, MD

Five years ago, the NCBI Probe database (ProbeDB) was established to provide a centralized archive of molecular probes used in biomedical applications. Currently ProbeDB contains around 10 million probes of 65 types including gene silencing agents, in situ hybridization probes, and probes for variation analysis and genome mapping. Presently, ProbeDB is the largest and most extensive database of this type available in public domain.

Software for Genomic/Epigenomic Research
A.S.Tanas, V.V.Shkarupo, E.B.Kuznetsova, D.V.Zaletayev, V.V. Strelnikov,
Research Centre for Medical Genetics; Moscow Medical Academy

We present two computer programs: 1) AIMS in silico - a suggestion tool for Amplification of Intermethylated Sites experimental design and results analysis; and 2) PeakPick – a tool to view & analyse capillary electrophoregrams Our computer software is intended to standardize AIMS applications and to turn it into one of the principal approaches towards cancer methylomes studies as well as towards diagnostics in oncology, including early screening.

Geneset-based cancer survival analysis: On the non-uniform distributiuon of p-values under the null hypothesis
Esteban Czwan, Benedikt Brors, David Kipling,
Cardiff University, German Cancer Research Center

Although null p-values are assumed to be uniformly distributed in gene expression experiments, the actual distribution often deviates from the assumed distribution. This can incorrectly associate the biology of a geneset with cancer prognosis in geneset-based survival studies. To assess the implications of this, a geneset-based method was developed. This method empirically approximates the distribution of null p-values and tests whether predefined sets of biologically-related genes are associate