公开(公告)号：US10347365B2

公开(公告)日：2019-07-09

申请号：US15891607

申请日：2018-02-08

Applicant: 10X Genomics, Inc.

Inventor： Alexander Y. Wong ,  Jeffrey Mellen ,  Kevin Wu ,  Paul Ryvkin

IPC: G16B25/00 ,  G16B40/00 ,  G16B45/00 ,  G06F19/24 ,  G06F19/26 ,  G06F19/20

Abstract: A visualization system comprising a persistent memory, storing a dataset, and a non-persistent memory implements a pattern visualizing method. The dataset contains discrete attribute values for each first entity in a plurality of first entities for each second entity in a plurality of second entities. The dataset is compressed by blocked compression and represents discrete attribute values in both compressed sparse row and column formats. The discrete attribute values are clustered to assign each second entity to a cluster in a plurality of clusters. Differences in the discrete attribute values for the first entity across the second entities of a given cluster relative to the discrete attribute value for the same first entity across the other clusters are computed thereby deriving differential values. A heat map of these differential values for each first entity for each cluster is displayed to reveal the pattern in the dataset.

公开(公告)号：US20180371545A1

公开(公告)日：2018-12-27

申请号：US15984324

申请日：2018-05-19

Applicant: 10X Genomics, Inc.

Inventor： Alexander Y. Wong ,  Jeffrey Mellen ,  Kevin Wu ,  Paul Ryvkin

IPC: C12Q1/6881 ,  C07K14/725 ,  C07K16/28

Abstract: Methods for screening clonotypes are provided. Data representing a plurality of cells from a single subject is obtained. The data represents a plurality of clonotypes. The data includes a plurality of contigs for each respective clonotype in the plurality of clonotypes. Each respective contig in the plurality of contigs comprises (i) an indication of chain type for the respective contig and (ii) a contig sequence of an mRNA of the respective cell. There is determined, using the data, for each respective clonotype in the plurality of clonotypes, a number of the plurality of cells that represent the respective clonotype. In some instances, more than one cell in the plurality of cells have the same clonotype in the plurality of clonotypes. In some instances, the plurality of clonotypes comprises 25 clonotypes and where the plurality of cells includes at least one cell for each clonotype in the plurality of clonotypes.

公开(公告)号：US11898206B2

公开(公告)日：2024-02-13

申请号：US15984324

申请日：2018-05-19

Applicant: 10X Genomics, Inc.

Inventor： Alexander Y. Wong ,  Jeffrey Mellen ,  Kevin Wu ,  Paul Ryvkin

IPC: C07K14/725 ,  G16B45/00 ,  G16B40/30 ,  G16B30/00 ,  C12Q1/686 ,  G16B30/10 ,  C12Q1/6881 ,  C07K16/28 ,  C12Q1/6883 ,  C12Q1/6806

CPC classification number: C12Q1/6881 ,  C07K14/7051 ,  C07K16/2809 ,  G16B30/00 ,  G16B40/30 ,  G16B45/00 ,  C07K2317/565 ,  C12Q1/686 ,  C12Q1/6806 ,  C12Q1/6883 ,  C12Q2600/156 ,  C12Q2600/158 ,  C12Q2600/16 ,  G16B30/10

Abstract: Methods for screening clonotypes are provided. Data representing a plurality of cells from a single subject is obtained. The data represents a plurality of clonotypes. The data includes a plurality of contigs for each respective clonotype in the plurality of clonotypes. Each respective contig in the plurality of contigs comprises (i) an indication of chain type for the respective contig and (ii) a contig sequence of an mRNA of the respective cell. There is determined, using the data, for each respective clonotype in the plurality of clonotypes, a number of the plurality of cells that represent the respective clonotype. In some instances, more than one cell in the plurality of cells have the same clonotype in the plurality of clonotypes. In some instances, the plurality of clonotypes comprises 25 clonotypes and where the plurality of cells includes at least one cell for each clonotype in the plurality of clonotypes.

公开(公告)号：US20240218445A1

公开(公告)日：2024-07-04

申请号：US18406946

申请日：2024-01-08

Applicant: 10X Genomics, Inc.

Inventor： Alexander Y. Wong ,  Jeffrey Mellen ,  Kevin Wu ,  Paul Ryvkin

IPC: C12Q1/6881 ,  C07K14/725 ,  C07K16/28 ,  G16B30/00 ,  G16B40/30 ,  G16B45/00 ,  C12Q1/6806 ,  C12Q1/686 ,  C12Q1/6883 ,  G16B30/10

CPC classification number: C12Q1/6881 ,  C07K14/7051 ,  C07K16/2809 ,  G16B30/00 ,  G16B40/30 ,  G16B45/00 ,  C07K2317/565 ,  C12Q1/6806 ,  C12Q1/686 ,  C12Q1/6883 ,  C12Q2600/156 ,  C12Q2600/158 ,  C12Q2600/16 ,  G16B30/10

Abstract: Methods for screening clonotypes are provided. Data representing a plurality of cells from a single subject is obtained. The data represents a plurality of clonotypes. The data includes a plurality of contigs for each respective clonotype in the plurality of clonotypes. Each respective contig in the plurality of contigs comprises (i) an indication of chain type for the respective contig and (ii) a contig sequence of an mRNA of the respective cell. There is determined, using the data, for each respective clonotype in the plurality of clonotypes, a number of the plurality of cells that represent the respective clonotype. In some instances, more than one cell in the plurality of cells have the same clonotype in the plurality of clonotypes. In some instances, the plurality of clonotypes comprises 25 clonotypes and where the plurality of cells includes at least one cell for each clonotype in the plurality of clonotypes.

公开(公告)号：US20180225416A1

公开(公告)日：2018-08-09

申请号：US15891607

申请日：2018-02-08

Applicant: 10X Genomics, Inc.

Inventor： Alexander Y. Wong ,  Jeffrey Mellen ,  Kevin Wu ,  Paul Ryvkin

IPC: G06F19/26 ,  G06F19/24

CPC classification number: G16B45/00 ,  G16B25/00 ,  G16B40/00

Abstract: A visualization system comprising a persistent memory, storing a dataset, and a non-persistent memory implements a pattern visualizing method. The dataset contains discrete attribute values for each first entity in a plurality of first entities for each second entity in a plurality of second entities. The dataset is compressed by blocked compression and represents discrete attribute values in both compressed sparse row and column formats. The discrete attribute values are clustered to assign each second entity to a cluster in a plurality of clusters. Differences in the discrete attribute values for the first entity across the second entities of a given cluster relative to the discrete attribute value for the same first entity across the other clusters are computed thereby deriving differential values. A heat map of these differential values for each first entity for each cluster is displayed to reveal the pattern in the dataset.