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Trizol is a chemical reagent used to extract RNA, DNA and Protein from a single biological sample
Latrunculin B is an inhibitor of actin polymerization.
Nocodazole is a chemical inhibitor of microtubule polymerization.
A potent chemical inhibitor of TGFbeta type I receptor
Software tool as robust preprocessing pipeline for functional MRI.Used for preprocessing of diverse fMRI data.
Image analysis software for medical image segmentation. The software is fueled by an end-to-end adversarial neural network that generates segmentation label maps.
Organization that provides a conference about the methods for the segmentation of brain tumors in magnetic resonance imaging (MRI) scans. Its conferences utilize multi-institutional pre-operative MRI scans and focus on the segmentation of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors, namely gliomas.
Core facility that offers library preparation and sequencing services on a variety of platforms - Illumina HiSeq 4000, MiSeq, HiSeq 2500 and PacBio Sequel - as well as bioinformatics analysis. It can sequence a variety of commercial sample preparation kits as well as custom workflows. DGAC provides access to high throughput sequencing and analysis to researchers at the Stanford Diabetes Research Center.
With the following services from the Diabetes Clinical and Translational Core (DCTC), members will receive training in biospecimen preservation, study design, data analysis, data management, use of statistical software and clinical trial conduct.
Core facility whose services include: Islet Isolation, Islet transplantation, Islet Culture, Islet Perifusion & Islet Hormone Assays. The SIRC is supported by the Stanford Diabetes Research Center (SDRC).
Core facility that provides immune monitoring assays at the RNA, protein, and cellular level, as well as archiving, reporting, and data mining support for clinical and translational studies related to Diabetes. The DIMC is a specialized subcore of the Human Immune Monitoring Center (HIMC) at Stanford.
Software toolkit for neuroelectrophysiology object modeling and data analysis in Python. Open source Python package for analysis of neuroelectrophysiology data.
Image processing and analysis program for Windows 95 NT and has many of the same capabilities as NIH Image. ImageTool can acquire, display, edit, analyze, process, compress, save and print gray scale and color images.
Software for syntax highlighting for computational biology.
Blog for summaries of neuroscience journal papers and articles. BrainPost sends its subscribers digestible and accessible versions of scientific findings in the field of neuroscience.
Source code for a bash pipeline that quantifies splice-leader (SL) trans-splicing events by genes in the nematode C. elegans. It is designed to work downstream of read mapping and takes the reads left unmapped as primary input.
Dataset of cellular signatures that catalogs transcriptional responses of human cells to chemical and genetic perturbation. CMap contains perturbagens, expression signatures, and small molecules from cell lines.
The Bioinformatics Center is located within the Department of Diabetes and Cancer Discovery Science at City of Hope and was established in 2014 to support the Human Islet Research Network (HIRN). The overall objective of the Bioinformatics Center is to advance type 1 diabetes knowledge generated through HIRN by providing the bioinformatics capability and infrastructure needed to support the Network. To achieve this goal, the Bioinformatics Center provides investigators with tools, processes, and methods to facilitate long term sharing, maintenance, and management of HIRN developed resources, including datasets, technologies, documents, and bioreagents. Collaboration and communication are cultivated through consultation and outreach activities. In 2019, HIRN received funding to continue HIRN Coordinating Center (CC) and Bioinformatics Center (BC) as Human Islet Research Enhancement Center (HIREC).
Program is performing deep phenotyping of human endocrine pancreas and its interaction with immune system to better understand cellular and molecular events that precede and lead to beta cell loss in Type-1 Diabetes (T1D) and islet dysfunction in Type-2 Diabetes (T2D).
Consortium that is an independent research initiative of the Human Research Information Network (HIRN). It is investigating methods to increase or maintain functional beta cell mass in T1D through targeted manipulation of islet plasticity or engineered protection of beta cells from immune-mediated destruction.