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Mark E Hester, 4813122 Ault Rd, Pickerington, OH 43147

Mark Hester Phones & Addresses

13122 Ault Rd, Pickerington, OH 43147    614-5246285   

Cleveland, OH   

Columbus, OH   

6465 Silverleaf Ave, Reynoldsburg, OH 43068    614-5524290   

2347 Old Columbus Rd, Granville, OH 43023   

2437 Old Columbus Rd, Granville, OH 43023   

6465 Silverleaf Ave, Reynoldsburg, OH 43068   

Work

Company: Translationz corp - Palatine, IL Dec 2011 Position: Web developer, it administrator, seo specialist

Education

School / High School: Ashford University- Clinton, IA 2011 Specialities: Business Information Systems

Mentions for Mark E Hester

Career records & work history

License Records

Mark A. Hester

Licenses:
License #: PST.020567 - Active
Issued Date: May 21, 2014
Expiration Date: Dec 31, 2017
Type: Pharmacist

Mark Hester resumes & CV records

Resumes

Mark Hester Photo 51

Mark Hester - Rockford, IL

Work:
Translationz Corp - Palatine, IL Dec 2011 to Oct 2012
Web Developer, IT Administrator, SEO Specialist
Phigit, LLC - Hoffman Estates, IL Jan 2009 to Oct 2012
Web Developer, Technical Consultant
QPS Staffing - Rockford, IL Sep 2008 to Dec 2008
Temp
PNG Telecommunications - Fairfield, OH Oct 2004 to Sep 2008
Customer Service Representative
Various Employers - Cincinnati, OH 1998 to 2008
Various Full Time / Part Time Positions
Thriftway Auto - Hamilton, OH 1998 to 2008
Driver
Golden Corral - Fairfield, OH 2004 to 2004
Server
Aerotek - Cincinnati, OH 2003 to 2004
Temp
Derrick Mayes Agency - american family insurance 2003 to 2003
Insurance Agent Assistant
Adecco - Avon - Springdale, OH 2000 to 2000
Customer Service Rep
Kelly Assisted Living Services - Cincinnati, OH 1999 to 2000
Payroll Clerk
Education:
Ashford University - Clinton, IA 2011
Business Information Systems
Franklin University - Columbus, OH 2009 to 2010
Computer Science
Cincinnati State Technical and Community College - Cincinnati, OH 2008
Associate's of Applied Science in Software Engineering Technology
University of Cincinnati - Cincinnati, OH 1998 to 2000
Aerospace Engineering

Publications & IP owners

Us Patents

Identification Of Traits Associated With Dna Samples Using Epigenetic-Based Patterns Detected Via Massively Parallel Sequencing

US Patent:
2015035, Dec 10, 2015
Filed:
Jun 5, 2015
Appl. No.:
14/732244
Inventors:
- Columbus OH, US
Mark E. Hester - Reynoldsburg OH, US
Esley M. Heizer - Galloway OH, US
International Classification:
C12Q 1/68
Abstract:
Illustrative embodiments of systems and methods for the identification of traits associated with DNA samples using epigenetic-based patterns detected via massively parallel sequencing (MPS) are disclosed. Illustrative embodiments may involve digesting a DNA sample with a methylation-dependent endonuclease, amplifying loci of the digested DNA sample (including a positive control locus that does not contain a restriction site for the methylation-dependent endonuclease) using a multiplex PCR to produce amplicons, sequencing the amplicons using an MPS instrument to generate sequence reads, determining a sequence count for each of the loci by comparing each of the sequence reads to reference sequences, normalizing the sequence count for each of the loci to the sequence count of the positive control locus, and identifying a trait associated with the DNA sample by applying a classification algorithm to the normalized sequence counts.

Allelotyping Methods For Massively Parallel Sequencing

US Patent:
2015003, Jan 29, 2015
Filed:
Jul 29, 2013
Appl. No.:
13/952761
Inventors:
- Columbus OH, US
Angela T. Minard-Smith - Marysville OH, US
Daniel M. Bornman - Powell OH, US
Mark E. Hester - Reynoldsburg OH, US
Boyu Yang - Charlottesville VA, US
International Classification:
G06F 19/22
US Classification:
702 19
Abstract:
In one illustrative embodiment, an allelotyping method may include selecting a plurality of text strings that each represent a nucleotide sequence that was read by a massively parallel sequencing (MPS) instrument, where the nucleotide sequences represented by the selected plurality of text strings each correspond to a particular locus, comparing the selected plurality of text strings to one another to determine an abundance count for each unique text string included in the selected plurality of text strings, and determining one or more alleles for the particular locus by comparing the abundance count for each unique text string included in the selected plurality of text strings to an abundance threshold.

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