101 to 110 of 118 Results
Oct 5, 2018 - Statistical Genetics
Lorenzo Bermejo, Justo; Boekstegers, Felix; González Silos, Rosa; Marcelain, Katherine; Baez Benavides, Pablo; Barahona Ponce, Carol; Müller, Bettina; Ferreccio, Catterina; Koshiol, Jill; Fischer, Christine; Peil, Barbara; Sinsheimer,Janet; Fuentes Guajardo,Macarena; Barajas, Olga; Gonzalez-Jose, Rolando; Bedoya, Gabriel; Cátira Bortolini, Maria; Canizales-Quinteros,Samuel; Gallo, Carla; Ruiz Linares, Andres; Rothhammer, Francisco, 2018, "Subtypes of Native American ancestry and leading causes of death: Mapuche ancestry-specific associations with gallbladder cancer risk in Chile [Dataset]", https://doi.org/10.11588/data/IDSI88, heiDATA, V1
Latin Americans are highly heterogeneous regarding the type of Native American ancestry. Consideration of specific associations with common diseases may lead to substantial advances in unraveling of disease etiology and disease prevention. Here we investigate possible association... |
Oct 5, 2018 - Statistical Genetics
Hemminki, Kari; Lorenzo Bermejo, Justo, 2018, "Calculation of Population attributable fraction Familial relative risk and Statistical power", https://doi.org/10.11588/data/1KJEDB, heiDATA, V1
Candidate gene studies have become very popular but some of their implicit constraints, such as the familial risk and the population attributable fraction (PAF) conferred by the gene under study, are poorly understood. We model here these parameters for susceptibility genes in te... |
Weis, Cleo-Aron, 2018, "Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome [Dataset]", https://doi.org/10.11588/data/XJAOC4, heiDATA, V1
Data used for the implementation of the proposed tumor budding detection In the publication “Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome” we described a multistep approach to detect tumor buds i... |
Küster, Hansjörg, 2018, "Mittelalterliche Pflanzenreste von der Marktstätte und Brotlaube in Konstanz [Dataset]", https://doi.org/10.11588/data/ARWJHB, heiDATA, V1
During excavations in medieval Konstanz very many samples were taken for archaeobotanical analyses. Samples could be dated to different time layers from High to Late Middle Ages. Spelt, millet and oats were probably the most important cereals. But also flax, hemp, figs and spices... |
Jun 8, 2018 - Diagnostic and Interventional Radiology
Triphan, Simon; Biederer, Jürgen; Burmester, Kerstin; Fellhauer, Iven; Vogelmeier, Claus; Jörres, Rudolf; Kauczor, Hans-Ulrich; Heußel, Claus; Wielpütz, Mark; Jobst, Bertram, 2018, "Raw data and analysis scripts for "Design and application of an MR reference phantom for multicentre lung imaging trials"", https://doi.org/10.11588/data/FHOCRZ, heiDATA, V1
This dataset contains all MRI phantom data discussed in the related publication as well as the python scripts used to analyse them. The format is DICOM files, where institution names and adresses have been anonymized. Abstract Introduction: As there is an increasing number of mul... |
Cleo-Aron Weis, 2018, "Histopathology of thymectomy specimens from the MGTX-trial", https://doi.org/10.11588/data/NWE2JJ, heiDATA, V1, UNF:6:Od2UlnHG3ctanb4ikzIx4g== [fileUNF]
Background: The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up: Work-up... |
Mar 5, 2018 - KnopLab
Kats, Ilia; Khmelinskii, Anton; Kschonsak, Marc; Huber, Florian; Knieß, Robert A.; Bartosik, Anna; Knop, Michael, 2018, "Mapping degradation signals and pathways in a eukaryotic N-terminome [data set]", https://doi.org/10.11588/data/9ZQIKF, heiDATA, V1
Data accompanying the paper "Mapping degradation signals and pathways in a eukaryotic N-terminome". |
Dec 4, 2017 - Experimental Biophysics
Hildenbrand, Georg; Metzler, Philipp; Pilarczyk, Goetz; Bobu, Vladimir; Hosser, Hiltraud; Fleckenstein, Jens; Krufczik, Matthias; Bestvater, Felix; Wenz, Frederik; Hausmann, Michael, 2017, "Dose Enhancement Effects of Gold Nanoparticles Specifically Targeting RNA in Breast Cancer Cells [Dataset]", https://doi.org/10.11588/data/N8NHE2, heiDATA, V1
Localization microscopy has shown to be capable of systematic investigations on the arrangement and counting of cellular uptake of gold nanoparticles (GNP) with nanometer resolution. In this article, we show that the application of specially modified RNA targeting gold nanopartic... |
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... |
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... |
