database theorystudentsteachinglearninginteractive devicesPurpose - In tertiary institution, some students find it hard to learn database design theory, in particular, database normalization. The purpose of this paper is to develop a visualization tool to give students an interactive hands-on experience...
DBMS | Normalization: In this tutorial, we will learn about the normalization, different types of the normalization with the examples.
With normalization, an organization can make the most of its data as well as invest in data gathering at a greater, more efficient level. Looking at data to improve how a company is run becomes a less challenging task, especially when cross-examining. For those who regularly consolidate and ...
Fluorescence acquisition, visualization and export Cell Proliferation Rates Affect XF Data Interpretation This figure shows an example of XF data normalization performed byin situnuclear staining andin situcell counting using the imaging and normalization system. The impact that varying cell numbers in eac...
This R package provides functionality for quality control processing, statistical analysis and visualization of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level; isobaric labeled or unlabled), lipidomic, and metabolomic data. This includes data ...
methods that extend the ICE algorithm and correct the data from systematic biases, either considering the CNVs as a bias to remove or as an interesting signal to conserve in the data structure. Finally, we apply these methods to several disease associated Hi-C data sets, demonstrating their ...
in time—to a sequence of two stimuli separated by a variable time interval. Voluntary temporal attention improved perceptual sensitivity only over a specific interval range. To explain these data, we modelled voluntary and involuntary attentional gain dynamics. Voluntary gain enhancement took the form...
due to the random polymer looping behavior of DNA is one of the key features in both the bulk [1] and single-cell Hi-C data (Additional file1: Fig. S2). As expected, such a band effect leads to marked interaction frequency enrichment among loci close to the diagonal in the Hi-C con...
Data Transfer / Rechunking (TransferTask) A common task is to take a dataset that was set up as single slices (X by Y by 1) chunks. This is often appropriate for image alignment or other single section based processing tasks. However, this is not optimal for Neuroglancer visualization or...
Chromosome conformation capture techniques, such as Hi-C, are fundamental in characterizing genome organization. These methods have revealed several genomic features, such as chromatin loops, whose disruption can have dramatic effects in gene regulation.