Mark A Sanders

US Patent:

D463221, Sep 24, 2002

Filed:

Sep 24, 2001

Appl. No.:

29/148626

Inventors:

Mark C Sanders - Brooklyn NY 11239

International Classification:

0703

US Classification:

D 7643, D7645

US Patent:

20110086417, Apr 14, 2011

Filed:

May 21, 2009

Appl. No.:

12/993730

Inventors:

Barnet Liberman - New York NY, US
Mark Sanders - Minneapolis MN, US

International Classification:

A01N 1/00

US Classification:

4352841

Abstract:

Apparatus and method for freezing biopsy material. The apparatus includes a container that includes an inner wall and an outer wall defining a space therebeween for receiving a material adapted to withstand a temperature below −20 F. The apparatus further includes a cooling insulating medium that is disposed between the inner wall and the outer wall, a biopsy holding section that is disposed in the cavity and that is configured for holding the biopsy material, and a brine solution that is disposed in the cavity such that the biopsy material held in the biopsy holding section is completed submerged in the brine solution.

US Patent:

20180330054, Nov 15, 2018

Filed:

May 11, 2018

Appl. No.:

15/977667

Inventors:

- Reston VA, US
Tyler W. BARRUS - Midlothian VA, US
Mark SANDERS - Ashburn VA, US
Daniel NEGRON - Reston VA, US

Assignee:

NOBLIS, INC. - Reston VA

International Classification:

G06F 19/22
G06F 17/30
G06F 19/24

Abstract:

Techniques for identifying and/or classifying genomic information are provided. In some embodiments, genomic information may be identified by computing systems without access to a database of reference genomic information, instead relying on locally stored probabilistic data structures representing reference genomic information. Query genomic data, such as data taken from a read-set, may be divided into sub-strings, and each of the locally-stored probabilistic data structures may be queried by each of the extracted sub-strings, generating probabilistic outputs indicating either that (a) the sub-string is probably included in the set of data represented by the probabilistic data structure or (b) the sub-string is definitely not included in the set of data. Based on the number and/or proportion of sub-strings from a read-set that are indicated as being likely represented by a probabilistic data structure, a likely identity or classification for the genomic information in the read-set may be determined.