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Scott A Mcnitt

from Rochester, NY
Age ~61
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Also known as:
Scott Andrew Mcnitt, Sandra D Mcnitt, Scott A Mcnih
Phone and address:
1441 Clover St, Rochester, NY 14610
(585) 271-1093
Related to:
Issa Hanna Torbay, 54George J Torbay, 48Sonia TorbayRichard Torbay, 47Latonya Y King, 54
Connected to:
Chrystal M Mcnitt, 56Hope A Mcnitt, 69Jeremy Mcnitt, 50Raymond G Mcnitt, 42Steven E Mcnitt, 66Julie L Mcniven, 48Roy E Mcniven, 45Christian D Mcnolty, 33Holly Mcnorton, 31Joshua B Mcnorton, 33

Scott Mcnitt Phones & Addresses

  • 1441 Clover St, Rochester, NY 14610 (585) 271-1093
  • 5002 Park Plz, Austin, TX 78731 (512) 458-3095
  • West Henrietta, NY
  • Clifton Park, NY
  • Pittsford, NY

Work

Position: Administration/Managerial

Education

Degree: Associate degree or higher

Emails

d***[email protected]

Resumes

Resumes

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Scott Mcnitt

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Statistician At University Of Rochester Medical Center

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Position:
Statistician at University of Rochester Medical Center
Location:
Rochester, New York Area
Industry:
Medical Devices
Work:
University of Rochester Medical Center since Mar 2003
Statistician
SIGMA Marketing Group 2001 - 2003
Statistical Modeler

Publications

Us Patents

Risk Stratification Of Genetic Disease Using Scoring Of Amino Acid Residue Conservation In Protein Families

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US Patent:
20110131171, Jun 2, 2011
Filed:
Apr 24, 2009
Appl. No.:
12/989090
Inventors:
Christian Jons - Rochester NY, US
Arthur Moss - Rochester NY, US
Coeli Lopes - Rochester NY, US
Scott McNitt - Rochester NY, US
Assignee:
University Of Rochester - Rochester NY
International Classification:
C12Q 1/68
G01N 33/50
G06N 5/02
G06F 17/30
US Classification:
706 54, 435 61, 436 94, 707748
Abstract:
Methods, databases and software for determining the risk of an adverse health event for patient by analysis of the protein sequence of the patient are described. The methods involve obtaining a protein sequence that is associated with a specific disorder from the patient. The protein sequence from the patient is compared to a database of sequences of the same protein and is analyzed to determine the conservation score of the amino acid residues in the protein. Those amino acid residues having high conservation scores will be further analyzed to determine if there are mutations present at those highly conserved positions. Patients having proteins with mutations in highly conserved positions are determined to have a higher risk of an adverse event due to the disorder.
Control profile
Scott A Mcnitt from Rochester, NY, age ~61 Get Report