Abstract: An analysis container includes an outer tube and a plurality of inner tubes. The outer tube defines a buffer volume that is configured to receive a buffer material. The plurality of inner tubes is disposed within the buffer volume. Each inner tube has an inner diameter equal to or less than 6 mm and is configured to receive a biopharmaceutical composition therein. The outer tube is configured such that the buffer material and the biopharmaceutical composition are axially frozen.

Abstract: The disclosure provides methods for estimating tumor purity from tumor samples without use of matched-normal controls. A set of genomic regions are identified based on a nucleic acid sequence data that is aligned to a reference genome. Each genomic region of the set of genomic regions includes one or more nucleotide-sequence variants relative to a corresponding genomic region of the reference genome. A B-allele frequency distribution for the biological sample is determined based on a B-allele frequency determined for each genomic region of the set of genomic regions. The B-allele frequency distribution is processed using a trained machine-learning model to estimate a metric identifying tumor purity in the biological sample.

Abstract: The disclosure provides methods for estimating tumor purity from tumor samples without use of matched-normal controls. A set of genomic regions are identified based on a nucleic acid sequence data that is aligned to a reference genome. Each genomic region of the set of genomic regions includes one or more nucleotide-sequence variants relative to a corresponding genomic region of the reference genome. A B-allele frequency distribution for the biological sample is determined based on a B-allele frequency determined for each genomic region of the set of genomic regions. The B-allele frequency distribution is processed using a trained machine-learning model to estimate a metric identifying tumor purity in the biological sample.

Abstract: The disclosure provides methods for estimating tumor purity from tumor samples without use of matched-normal controls. A set of genomic regions are identified based on a nucleic acid sequence data that is aligned to a reference genome. Each genomic region of the set of genomic regions includes one or more nucleotide-sequence variants relative to a corresponding genomic region of the reference genome. A B-allele frequency distribution for the biological sample is determined based on a B-allele frequency determined for each genomic region of the set of genomic regions. The B-allele frequency distribution is processed using a trained machine-learning model to estimate a metric identifying tumor purity in the biological sample.

Abstract: The disclosure provides methods for estimating tumor purity from tumor samples without use of matched-normal controls. A set of genomic regions are identified based on a nucleic acid sequence data that is aligned to a reference genome. Each genomic region of the set of genomic regions includes one or more nucleotide-sequence variants relative to a corresponding genomic region of the reference genome. A B-allele frequency distribution for the biological sample is determined based on a B-allele frequency determined for each genomic region of the set of genomic regions. The B-allele frequency distribution is processed using a trained machine-learning model to estimate a metric identifying tumor purity in the biological sample.

Abstract: An analysis container includes an outer tube and a plurality of inner tubes. The outer tube defines a buffer volume that is configured to receive a buffer material. The plurality of inner tubes is disposed within the buffer volume. Each inner tube has an inner diameter equal to or less than 6 mm and is configured to receive a biopharmaceutical composition therein. The outer tube is configured such that the buffer material and the biopharmaceutical composition are axially frozen.

Abstract: Methods for somatic variant calling from an unmatched biological samples is provided. The method can include obtaining nucleic acid sequence data corresponding to a biological sample of a subject. The method can also include aligning the nucleic acid sequence data to a reference genome. The method can also include identifying, based on the aligned nucleic acid sequence data, a set of candidate variants in said nucleic acid sequence data. The set of candidate variants may include one or more somatic variants and one or more germline variants. The method can also include, without using a nucleic acid sequencing data from a matching biological sample of the subject, processing the set of candidate variants using a trained machine-learning model to identify the somatic variants. The method can also include outputting a report that identifies the somatic variants.

Abstract: The disclosure provides methods for estimating tumor purity from tumor samples without use of matched-normal controls. A set of genomic regions are identified based on a nucleic acid sequence data that is aligned to a reference genome. Each genomic region of the set of genomic regions includes one or more nucleotide-sequence variants relative to a corresponding genomic region of the reference genome. A B-allele frequency distribution for the biological sample is determined based on a B-allele frequency determined for each genomic region of the set of genomic regions. The B-allele frequency distribution is processed using a trained machine-learning model to estimate a metric identifying tumor purity in the biological sample.

Abstract: A fracture reduction implant for treating a vertebral compression fracture and instruments and methods for implanting the fracture reduction device utilizing a minimally invasive lateral approach are described. The implant may be inserted into a fractured vertebra through a T-shaped cut formed in the vertebral wall. The T-shaped cut may be formed in the lateral aspect of the wall. After insertion, a portion of the implant may be elevated within the vertebral body to reduce the fracture. The implant may include a base assembly, elevator plate, and a support column. The support column may be locked to the base assembly after insertion.

Abstract: A system, method, and storage medium for an online community building portal, including at least one contributor, where the contributor produces and submits content localized for a particular geographic area which is then reviewed by at least one editor who is familiar with the particular geographic area; at least one computer communicably coupled to a remote computer where the computer can transmit the reviewed content to a user who is using the remote computer in a single viewer which is customizable by the user.

Abstract: An illumination panel for illuminating an object, comprising a substrate, a light diffractive grating and a light source. The substrate is made from an optically transparent material having first and second area surfaces disposed substantially parallel to each other and a light input surface for conducting a light beam into the substrate. The light diffractive grating is mounted to the first areal surface and has a slanted fringe structure embodied therein for diffracting the light beam falling incident thereto, along a first diffractive order of the slanted fringe structure. The light source produces a light beam for transmission through the input surface and direct passage through the substrate to the slanted fringe structure so as to produce an output light beam of areal extent that emerges from either the first or second areal surface along the first diffractive order, for use in illuminating an object.

Abstract: A dispensing carton for plastic bags is disclosed in which the bags may be removed from aperture openings located on three different sides of the carton. A blank for the dispensing carton is also disclosed.