Abstract: A system for biology based anti-tamper and a method for detecting a tampering activity to an object using biological materials are provided. The system includes a biological medium that includes a biological member such as deoxyribonucleic acid (DNA), ribonucleic acid (RNA), and/or live or hibernating organism. The biological medium is applied to a portion of an object that is required to monitor whether any tampering may have occurred. The biological member is engineered to change its state when exposed to a stimulus. Upon suspicion, the state of the biological member is examined to find if there is any change of state. The biological member is capable of being barcoded, which provides an extra security measure.

Abstract: Methods, systems and related compositions are provided to perform single-cell marking of a nucleic acid and/or protein in a sample based on in-cell or in-organelle barcoding of nucleic acid and/or protein complexes of the cell or organelle; the methods and systems herein described are configured to provide in-cell or in-organelle single-cell marked nucleic acid and/or protein complexes comprising a single-cell, cell-specific, or a single-cell organelle-specific marker.

Abstract: Methods, systems and related compositions are provided to perform single-cell marking of a nucleic acid and/or protein in a sample based on in-cell or in-organelle barcoding of nucleic acid and/or protein complexes of the cell or organelle; the methods and systems herein described are configured to provide in-cell or in-organelle single-cell marked nucleic acid and/or protein complexes comprising a single-cell, cell-specific, or a single-cell organelle-specific marker.

Abstract: A system for classifying an origin of genomic sequence data may include a training database comprising sample data including first samples corresponding to sequences of natural origin and second samples corresponding to sequences of synthetic origin, and a classifier comprising a genomic classification module. The genomic classification module may be trained via machine learning on the first and second samples. The genomic classification module may be configured to receive genomic sequence data of any read length and determine a classification output indicating whether the genomic sequence data has a natural origin or synthetic origin.

Abstract: The present invention relates to methods, computer readable medium and systems for detecting and counting single nucleic acid molecules confined in nanoliter volumes using an unmodified camera, such as a cell phone camera. In particular, it identifies colorimetric amplification-indicator dyes that are compatible with the spectral sensitivity of standard mobile phones. The invention further provides an optimal ratiometric image-process for a selected dye to achieve a readout that is robust to lighting conditions and camera hardware and provides unambiguous quantitative results, even for colorblind users.

Abstract: A system for biology based anti-tamper and a method for detecting a tampering activity to an object using biological materials are provided. The system includes a biological medium that includes a biological member such as deoxyribonucleic acid (DNA), ribonucleic acid (RNA), and/or live or hibernating organism. The biological medium is applied to a portion of an object that is required to monitor whether any tampering may have occurred. The biological member is engineered to change its state when exposed to a stimulus. Upon suspicion, the state of the biological member is examined to find if there is any change of state. The biological member is capable of being barcoded, which provides an extra security measure.

Abstract: A system for classifying an origin of genomic sequence data may include a training database comprising sample data including first samples corresponding to sequences of natural origin and second samples corresponding to sequences of synthetic origin, and a classifier comprising a genomic classification module. The genomic classification module may be trained via machine learning on the first and second samples. The genomic classification module may be configured to receive genomic sequence data of any read length and determine a classification output indicating whether the genomic sequence data has a natural origin or synthetic origin.

Abstract: Methods, systems and related compositions are provided to perform single-cell marking of a nucleic acid and/or protein in a sample based on in-cell or in-organelle barcoding of nucleic acid and/or protein complexes of the cell or organelle; the methods and systems herein described are configured to provide in-cell or in-organelle single-cell marked nucleic acid and/or protein complexes comprising a single-cell, cell-specific, or a single-cell organelle-specific marker.

Abstract: The present invention relates to methods, computer readable medium and systems for detecting and counting single nucleic acid molecules confined in nanoliter volumes using an unmodified camera, such as a cell phone camera. In particular, it identifies colorimetric amplification-indicator dyes that are compatible with the spectral sensitivity of standard mobile phones. The invention further provides an optimal ratiometric image-process for a selected dye to achieve a readout that is robust to lighting conditions and camera hardware and provides unambiguous quantitative results, even for colorblind users.

Abstract: Disclosed herein are methods and devices for assessing sample for the presence of a disease or organism using images from devices such as a consumer cell phones.