Illumina Corporation

Stephen Tanner

John A Moon

John S Vieceli

Francisco Jose Garcia

Tobias Mann

Anthony James Cox

Klaus Maisinger

Michael Lawrence Parkinson

Haifang H Ge

M Shane Bowen

Paul Belitz

Robert Ezra Langlois

Alex Nemiroski

Hui Han

Kevan Samiee

Bala Murali K Venkatesan

Danny Yuan Chan

Chen Zhao

Jason Harris

Kevin Eric Wu

Han-Yu Chuang

Alex So

Stephen M Gross

Xiao Chen

Xiaoyu Chen

Gwenn Berry

Jessica Gordon

Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Creating a template of nucleic acid site locations on a flow cell

Analyzing image data from nucleic acid sequencing

Identifying nucleotides by determining phasing

Fiducial markers are provided on patterned arrays of the type that may be used for molecular analysis, such as sequencing. The fiducials may have configurations that enhance their detection in image or detection data, that facilitate or improve processing, that provide encoding of useful information, and so forth. Examples of the fiducials may include an 'always on' type that respond to multiple frequencies of radiation used during processing and detection so as to return signals during successive cycles of imaging.

System and method with fiducials responding to multiple excitation frequencies

Fiducial markers are provided on patterned arrays of the type that may be used for molecular analysis, such as sequencing. The fiducials may have configurations and layouts that enhance their detection in image or detection data, that facilitate or improve processing, that provide encoding of useful information, and so forth. Examples of the fiducials may include offset layouts that may be useful in detecting the fiducials in different types and approaches in imaging, and that may help to distinguish regions of the array from one another in image data.

System and method with fiducials having offset layouts

The disclosed embodiments concern methods, apparatus, systems and computer program products for determining sequences of interest using unique molecular index sequences that are uniquely associable with individual polynucleotide fragments, including sequences with low allele frequencies and long sequence length. In some implementations, the unique molecular index sequences include variable-length nonrandom sequences. In some implementations, the unique molecular index sequences are associated with the individual polynucleotide fragments based on alignment scores indicating similarity between the unique molecular index sequences and subsequences of sequence reads obtained from the individual polynucleotide fragments. System, apparatus, and computer program products are also provided for determining a sequence of interest implementing the methods disclosed.

Methods and systems for generation and error-correction of unique molecular index sets with heterogeneous molecular lengths

System and methods for identifying nucleotides

Fiducial markers are provided on patterned arrays of the type that may be used for molecular analysis, such as sequencing. The fiducials may have configurations that enhance their detection in image or detection data, that facilitate or improve processing, that provide encoding of useful information, and so forth. Examples of the fiducials may include a non-closed shape that may encode information, allow for bubbles to escape during manufacture, and provide additional advantages over closed shape fiducials.

System and method with fiducials of non-closed shapes

A method of registering features in a repeating pattern can include (a) providing an object having a repeating pattern of features and a fiducial; (b) obtaining a target image of the object, wherein the target image includes the repeating pattern of features and the fiducial; (c) comparing the fiducial in the target image to reference data, wherein the reference data includes xy coordinates for a virtual fiducial; and (d) determining locations for the features in the target image based on the comparison of the virtual fiducial in the reference data to the fiducial in the data from the target image. The fiducial can have at least concentric circles that produce three different signal levels. The locations of the features can be determined at a variance of less than 5 &#x3bc;m.

Image analysis useful for patterned objects

Fiducial markers are provided on patterned arrays of the type that may be used for molecular analysis, such as sequencing. The fiducial markers may have configurations that enhance their detection in image or detection data, that facilitate or improve processing, that provide encoding of useful information, and so forth. Examples of the fiducial markers may include features and materials that are provided on or in the support of a patterned array and that return at least a portion of incident light by reflection. The fiducial markers may form gratings or other encoding configurations that assist in image processing, alignment, or other aspects of processing of the patterned array.

System and method with reflective fiducials for locating or registering locations receiving biological samples in successive cycles of fluorescent imaging

Fiducial markers are provided on a patterned array of the type that may be used for molecular analysis, such as sequencing. The fiducial markers may have configurations and layouts that enhance their detection in image or detection data, that facilitate or improve processing, that provide encoding of useful information, and so forth. Examples of the fiducial markers may include non-rectilinear layouts that may provide for more robust location of both the fiducial markers and sites of the patterned array.

System and method with fiducials in non-rectilinear layouts

Methods and systems for analyzing image data

Embodiments for registering features in a repeating pattern are described. These embodiments can include providing an object having a repeating pattern of features and a fiducial. These embodiment can also include obtaining a target image of the object, where the target image includes the repeating pattern of features and the fiducial. These embodiment can also include comparing the fiducial in the target image to reference data, where the reference data includes xy coordinates for a virtual fiducial. These embodiment can also include determining locations for the features in the target image based on the comparison of the virtual fiducial in the reference data to the fiducial in the data from the target image. The fiducial can have at least concentric circles that produce three different signal levels. The locations of the features can be determined at a variance of less than 5 &#x3bc;m.

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San Diego, CA, United States of America

Stephen Tanner