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Aaron Klammer Phones & Addresses

  • 3017 Thompson Ave, Alameda, CA 94501
  • 565 Ortega Ave, Mountain View, CA 94040 (650) 988-9943
  • San Francisco, CA
  • Goleta, CA
  • Seattle, WA
  • Boulder, CO
  • Menlo Park, CA

Work

Position: Director, software engineering

Education

Degree: Doctorates, Doctor of Philosophy School / High School: University of Washington 2003 to 2008

Resumes

Resumes

Aaron Klammer Photo 1

Director, Software Engineering

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Location:
Alameda, CA
Work:

Director, Software Engineering
Education:
University of Washington 2003 - 2008
Doctorates, Doctor of Philosophy

Publications

Us Patents

Proteins Associated With Cell Growth, Differentiation, And Death

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US Patent:
20060216706, Sep 28, 2006
Filed:
Jul 16, 2002
Appl. No.:
10/484603
Inventors:
Y Tang - San Jose CA, US
Vicki Elliott - San Jose CA, US
Mariah Baughn - Los Angeles CA, US
Henry Yue - Sunnydale CA, US
Aaron Klammer - Boulder CO, US
April Hafalia - Daly City CA, US
Elizabeth Stewart - Mill Creek WA, US
Cynthia Honchell - San Francisco CA, US
Ian Forsythe - Edmonton, CA
Li Ding - Creve Coeur MO, US
Uyen Tran - San Jose CA, US
Jennifer Griffin - Fremont CA, US
Yeganeh Zebarjadian - San Francisco CA, US
Anna Chinn - Sunnydale CA, US
Anne Curtis - Cambridge MA, US
Mark Borowsky - Needham MA, US
Anita Swarnakar - San Francisco CA, US
Neil Burford - Durham CT, US
Wen Luo - San Diego CA, US
Ernestine Lee - Kensington CA, US
Brooke Emerling - Chicago IL, US
Soo Lee - Mountain View CA, US
Junming Yang - San Jose CA, US
Farrah Khan - Canton MI, US
Jayalaxmi Ramkumar - Fremont CA, US
Yan Lu - Mountain View CA, US
Narinder Chawla - Union City CA, US
Brendan Duggan - Sunnydale CA, US
Kimberly Gietzen - San Jose CA, US
Karen Jones - Bollington, GB
International Classification:
C12Q 1/68
G01N 33/574
C07H 21/04
C12P 21/06
C07K 14/705
US Classification:
435006000, 435069100, 435007230, 435320100, 435325000, 530350000, 536023500
Abstract:
Various embodiments of the invention provide human proteins associated with cell growth, differentiation, and death (CGDD) and polynucleotides which identify and encode CGDD. Embodiments of the invention also provide expression vectors, host cells, antibodies, agonists, and antagonists. Other embodiments provide methods for diagnosing, treating, or preventing disorders associated with aberrant expression of CGDD.

Sequence Assembly And Consensus Sequence Determination

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US Patent:
20110257889, Oct 20, 2011
Filed:
Feb 24, 2011
Appl. No.:
13/034233
Inventors:
Aaron Klammer - Mountain View CA, US
Susan Tang - Los Altos CA, US
Mark Chaisson - San Francisco CA, US
Jon Sorenson - Alameda CA, US
Assignee:
Pacific Biosciences of California, Inc. - Menlo Park CA
International Classification:
G06F 19/00
US Classification:
702 19
Abstract:
Computer implemented methods, and systems performing such methods for processing signal data from analytical operations and systems, and particularly in processing signal data from sequence-by-incorporation processes to identify nucleotide sequences of template nucleic acids and larger nucleic acid molecules, e.g., genomes or fragments thereof. In particularly preferred embodiments, nucleic acid sequences generated by such methods are subjected to de novo assembly and/or consensus sequence determination.

Hierarchical Genome Assembly Method Using Single Long Insert Library

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US Patent:
20140025312, Jan 23, 2014
Filed:
Jul 12, 2013
Appl. No.:
13/941442
Inventors:
Patrick Marks - San Francisco CA, US
David Alexander - Mountain View CA, US
Aaron Klammer - Mountain View CA, US
Stephen W. Turner - Menlo Park CA, US
International Classification:
G06F 19/18
US Classification:
702 20
Abstract:
The present invention is generally directed to a hierarchical genome assembly process for producing high-quality de novo genome assemblies. The method utilizes a single, long-insert, shotgun DNA library in conjunction with Single Molecule, Real-Time (SMRT) DNA sequencing, and obviates the need for additional sample preparation and sequencing data sets required for previously described hybrid assembly strategies. Efficient de novo assembly from genomic DNA to a finished genome sequence is demonstrated for several microorganisms using as little as three SMRT cells, and for bacterial artificial chromosomes (BACs) using sequencing data from just one SMRT Cell. Part of this new assembly workflow is a new consensus algorithm which takes advantage of SMRT sequencing primary quality values, to produce a highly accurate de novo genome sequence, exceeding 99.999% (QV 50) accuracy. The methods are typically performed on a computer and comprise an algorithm that constructs sequence alignment graphs from pairwise alignment of sequence reads to a common reference.
Aaron A Klammer from Alameda, CA, age ~47 Get Report