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Showing 20 out of 1,714 Resources on page 19

Enzyme-linked Immunosorbent Assay Kit For Fibroblast Growth Factor 23 (FGF23)

The kit is a sandwich enzyme immunoassay for in vitro quantitative measurement of FGF23 in human serum, plasma, tissue homogenates, cell lysates, cell culture supernates and other biological fluids.

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  • 2 years ago - submitted by Zhong Zhong

TEST TEST

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  • NIF
  • 2 years ago - by Anonymous

C57BL/6JGpt-Trem1em1Cd6026/Gpt

This model will use CRISPR/Cas9 technology to edit the Trem1 gene.

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  • 2 years ago - submitted by shuang Wang

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  • 2 years ago - by Anonymous

The korean genome and epiemiology study (KOGES)

The Korean Genome and Epidemiology Study (KoGES) is a large prospective cohort study aimed at investigating the genetic and environmental risk factors of major chronic diseases in Korea. As of November 2017, epidemiological data of more than 23 million participants are available for researchers. Researchers who want to access the KoGES data may do so via the online data sharing service available at http://cdc.go.kr/CDC/ or http://nih.go.kr/NIH_NEW. After submitting institutional review board approval documentation, research proposal and a list of requested variables, researchers can download the data within 7 days. In addition, researchers who want to use genomic data and/or biospecimens, together with epidemiological data may do so via the one stop portal services of Korea Biobank Network (KBN) available at http:// koreabiobank.re.kr The Korean Genome Epidemiology Study (KoGES) is a principal cohort study providing valuable evidence for the prevention of major chronic diseases such as hypertension, obesity, and diabetes in Korea Cohort Profile: The Korean Genome and Epidemiology Study (KoGES). Consortium https://doi.org/10.1093/ije/dyv316 waiting for the submitter insufficinet information Cohort Profile: The Korean Genome and Epidemiology Study (KoGES) Consortium

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  • 2 years ago - submitted by Jihye Choi

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  • 2 years ago - by Anonymous

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  • 3 years ago - by Anonymous

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  • 3 years ago - by Anonymous

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  • 3 years ago - by Anonymous

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  • 3 years ago - by Anonymous

EraSOR

EraSOR is a python software for removing bias introduced from having overlapped samples between the base GWAS data and the target genotype data for polygenic risk score analyses

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  • RRID
  • 3 years ago - submitted by Shing Wan Choi

EraSOR

EraSOR is a python software for removing bias introduced from having overlapped samples between the base GWAS data and the target genotype data for polygenic risk score analyses

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  • RRID
  • 3 years ago - submitted by Shing Wan Choi

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  • 3 years ago - by Anonymous

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  • 3 years ago - by Anonymous

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  • 3 years ago - by Anonymous

Data for 32 Channel DBS Case series

A spreadsheet of clinical data from patients with complex movement disorders who have been treated with 3-4 lead directional deep brain stimulation.

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  • NIF
  • 3 years ago - submitted by Benjamin Sherman

Moffitt Cancer Center Molecular Genomics Core Facility

Molecular Genomics Core Facility at Moffitt Cancer Center in Tampa, FL offers services to assess gene expression, epigenetic modification and sequence variation. Performs bulk and single cell RNA and DNA sequencing on Illumina platform, NanoString nCounter, GeneChip and Illumina array services.Offers services to discuss your project and timeline for your project.

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  • SciCrunch
  • 3 years ago - submitted by Edyta Vieth

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  • 3 years ago - by Anonymous

Rabbit Anti-TERT Polyclonal Antibody

Polyclonal antibody targets sequences present in splicing subtypes 1 and 3 but not in the C-terminal extension (CTE) region of subtypes 2 and 4 of hTERT reported by UniProt (O14746)

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  • RRID
  • 3 years ago - submitted by 魏 唯

CoVEffect's Dataset: Effects of SARS-CoV-2 Mutations and Variants

Supporting data for "CoVEffect: Interactive System for Mining the Effects of SARS-CoV-2 Mutations and Variants Based on Deep Learning". This dataset include both manually curated and machine-mined annotations of abstracts on SARS-CoV-2 mutations and variants' effects. The abstracts are a subset of the COVID-19 Open Research Dataset.

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  • SciCrunch
  • 3 years ago - submitted by Francesco Invernici