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The Illumina MiSeq System Sequencer is a high-throughput DNA sequencer machine developed and manufactured by Illumina, and is designed for sequencing data acquisition using synthesis technology to provide an end-to-end solution (cluster generation, amplification, sequencing, and data analysis) in a...
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Last updated on 2023-02-23T19:37:46+00:00 by LN Anderson Pending Upload Mass spectrometry data analysis of SoDA-PAL photoaffinity probe labeled proteins in profiling the Sorgoleone interactome of microbial isolate A. pittii SO1. Reference Taxonomy Acinetobacter pittii SO1 [NCBITAXON:48296] Funding...
Last updated on 2023-04-24T18:38:03+00:00 by LN Anderson PerCon SFA: Sorgoleone Microbial Specie Isolate Genome Sequencing Collection GenBank IDs Pending Whole genome sequencing of Sorgoleone utilizing rhizobacteria strains, as potential plant growth promoting microbes (PGPM), derived from Sorghum...
Inclusion levels of alternative splicing (AS) events of five different varieties (i.e. skipped exon (SE), retained intron (RI), alternative 5’ splice site (A5SS), alternative 3’ splice site (A3SS), and mutually exclusive exons (MXE)) were measured in human blood samples from two separate cohorts of...
The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...
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The Human Islet Research Network (HIRN) is a large consortia with many research projects focused on understanding how beta cells are lost in type 1 diabetics (T1D) with a goal of finding how to protect against or replace the loss of functional beta cells. The consortia has multiple branches of...
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The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...
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Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...
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