11 to 20 of 163 Results
Huber, Florian; Bunina, Daria; Gupta, Ishaan; Khmelinski, Anton; Meurer, Matthias; Theer, Patrick; Steinmetz, Lars M.; Knop, Michael, 2016, "Protein abundance control by non-coding antisense transcription [Dataset]", https://doi.org/10.11588/data/10073, heiDATA, V4
Data accompanying the paper "Protein abundance control by non-coding antisense transcription" by Huber et al, 2016, Cell Reports. This contains FACS data for the noise analysis in the publication as well as single cell data from microscopy. |
Oct 28, 2016 - Multiple Myeloma Research Laboratory
Rème, Thierry; Emde, Martina; Seckinger, Anja; Hose, Dirk, 2016, "HDAMM-predictor: prediction of progression in asymptomatic myeloma patients", https://doi.org/10.11588/data/10092, heiDATA, V1
The HDAMM-predictor is based on microarray gene expression and predicts the risk of progression from asymptomatic to symptomatic myeloma. It divides the patients in three groups, from low to high risk to progress. It was generated according to the method published by Rème et al.... |
Oct 28, 2016
This Dataverse contains research data from the Multiple Myeloma Research Laboratory. |
Camacho, Salvador; Schwieren, Christiane; Ruppel, Andreas, 2017, "Promoting water consumption using behavioral economics insights [Dataset]", https://doi.org/10.11588/data/10099, heiDATA, V1
Mexico has one of the largest overweight and obesity epidemics in the world and as a response, several actions aiming to reduce the obesity epidemic have been already set in place. Some of these actions include a specific action program for schools looking to turn the scholar env... |
Data publications of the 3D Spatial Data Processing Group at the Institute of Geography at Heidelberg University. |
Jul 6, 2017
Data publications and software from the Department of Pharmaceutical Biology at the Institute of Pharmacy and Molecular Biotechnology at Heidelberg University. |
Jul 6, 2017 - Department of Pharmaceutical Biology
Holenya, Pavlo; Heigwer, Florian; Wölfl, Stefan, 2017, "Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks", https://doi.org/10.11588/data/10056, heiDATA, V1
Kinetic Operating Microarray Analyzer (KOMA) enables calibration and high-throughput analysis of quantitative microarray data collected by using kinetic detection protocol. This tool can be also helpful for analyzing data from any other analytical assays employing enzymatic signa... |
Lochead, Julia; Schessner, Julia; Werner, Tobias; Wölfl, Stefan, 2017, "Bioinformatic Tool for the Analysis of Time-Resolved data: the TReCCA Analyser", https://doi.org/10.11588/data/UYHOBR, heiDATA, V1
The TReCCA Analyser is conceived to facilitate, speed up and intensify the analysis and representation of your time-resolved data, more specically in the case of cell culture assays. Without having to type any formula, it will perform at wish the following calculations: Control c... |
Sep 11, 2017
Data publications from the Chair in Computer Assisted Clinical Medicine at the Medical Faculty Mannheim (Heidelberg University). |
Datenpublikationen des FID Altertumswissenschaften |
