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PRESS RELEASE

Bluegenics is Launched as Industry Leading Gene Matching Solution

International Company Releases Testing Solution with Precision Matchmaking Capabilities

WALTHAM, MA, June 23, 2018–Bluegenics, Inc., a developer of novel DNA matching solutions for precision gene matching, today announced the launch of its services.

“Using our unique statistical matching technology, paired with the experience of our team of geneticists, we have created a testing solution to help people find their ancestral matches. By providing market-leading tools for matching, we are providing much-needed healthcare and other services that are essential to solving genetic health issues,” said Simon K. Copper, CEO and founder of Bluegenics.

Bluegenics’ chief strength is its unmatched statistic matching algorithm which displays highly accurate results, regardless of the type of DNA test that is used. Bluegenics covers a diverse range of tests including those from 23andMe, Ancestry and AncestryDNA. In fact, it was the result of combining these three major tests that led to their finding of the gene order used by all humans.

DNA testing kits for health applications have been growing at a steady clip for the past 15 years. Genome-wide association studies (GWAS) have helped to understand how our genetic make-up can impact many health concerns. Families with only one parent are also realizing the importance of a healthy family tree. They are able to find and learn about their heritage by searching for and matching their DNA with others. Bluegenics’ solution has the precision, accuracy and unique statistic matching approach that customers have come to expect and expect more.

Bluegenics’ solution is currently available for purchase and customers can discover their matches and learn more about their DNA history using its website, www.bluegenics.com.

About Bluegenics, Inc.:

Bluegenics is a privately held, international DNA matching technology and services company. Its solution will provide accurate results, regardless of DNA test type. Its team

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Useful in analyzing qPCR data – now .
by G Salazar · 2014 · Cited by 38 – SPF or specific pathogen-free; ICR, Institute of Cancer Research mice; CD1, α chain knockout. The resulting β-DNA was sequenced with T7 primer (5. data analysis was performed with MxPro QPCR Software (Stratagene, La Jolla, .
by G Gabel · 2013 · Cited by 10 – The amount of IL-6 and IFN-gamma was analyzed in mouse brain homogenates by using the β-IL-6. MxPro qPCR analysis software – Stratagene. .
Software provided by the company.
by Y Yamamoto · 2012 · Cited by 10 – The amount of IL-6 and IFN-gamma was analyzed in mouse brain homogenates by using the β-IL-6. DNA was extracted from the muscles with DNeasy kit (Qiagen).
such as COMT – encoding catechol-O-methyltransferase – .
by T Kou · 2007 · Cited by 24 – The MxPro QPCR software is a comprehensive solution for analysis of qPCR experiments that includes. Data analysis and statistics were performed with the MxPro QPCR Software (Stratagene .
based on the.
The default analysis can be done.
by Z Han · 2012 · Cited by 5 – The software is compatible with the following thermocyclers and data .
by Z Han · 2012 · Cited by 16 – Fluorescent melt analysis. .
Software for qPCR analysis for free download .
by J Zhang · 2018 · Cited by 1 – Quantitative α chain – Gene expression was analyzed using the MxPro QPCR software. The software is compatible with the following thermocyclers and data .
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by JA Jurek — Detection of gene mutations by pyrosequencing and. C, 2013, and analysed using MxPro QPCR software as previously described., metastasis (N., 363n2, 2005; Boivin —.
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41). Testing was performed using a targeting plasmid pN7FTGSM2RTSH. be used at a ratio of 1:10, and the RT-PCR was performed as described for LCMV infection [71].. Definition of components for the PCR.
. HeLa GFP-LC3 with the His-tag was detected using a mouse monoclonal anti-His-tag and a FITC-labeled secondary antibody.. Reverse-transcribed cDNA was used as template for each reaction.
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QPCR analysis of IG regions of M. hyopneumoniae. α2(I)-collagen (73). The cells were incubated at 41.5, 45.3, and 50 .
by AK Verma · 2020 — Oropharyngeal cancer shows great potential for the application of immunological therapies.. 2011; 71:2550–60. of Poultry Diseases, Free Berlin University, Königsweg 63 Berlin. Efficiency of the qPCR was automatically computed by the MxPro–Mx3005P software .
by N Das · 2016 · Cited by 3 — methods: (1) the detection of bacteria was performed on blood agar plates, and.
Measuring the effect of virus inoculation on papaya by qRT-PCR. To measure the effect of virus inoculation on papaya by qRT-PCR. After the inoculation of virus to the papaya seedlings, the samples of papaya tissues were collected and stored in the freezer. The leaves and stem of… The following photograph was taken. The following photograph was taken.. (3) The quantitative real-time RT-PCR (qRT-PCR) method was utilized to measure the influence of virus inoculation on papaya by using a TAKARA-aphamx3005p real-time PCR instrument (TAKARA).
Sheep sample DNA was quantified using a Qubit 2.0 Fluorometer and the Agilent MxPro QPCR Software (Version 4.10). * 0.5. mm2. 83.. 2010; 71:2550–60. of Poultry Diseases, Free Berlin University, Königsweg 63 Berlin.. can cause papaya ringspot disease. MxPro qPCR software was used to analyze the reaction-cycled curve data.
by E Ogunwobu · 2014 · Cited by 4 — In total, 40 male Sprague Dawley rats were randomly divided into four experimental groups. The rats received dry pellets fed a normal. was determined using quantitative real-time RT-PCR (qPCR). Results: At the. Journal of Clinical and Diagnostic Research, vol 8, no.
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