Abstract: The invention relates to assembly of sequence reads. The invention provides a method for identifying a mutation in a nucleic acid involving sequencing nucleic acid to generate a plurality of sequence reads. Reads are assembled to form a contig, which is aligned to a reference. Individual reads are aligned to the contig. Mutations are identified based on the alignments to the reference and to the contig.

Abstract: The invention relates to assembly of sequence reads. The invention provides a method for identifying a mutation in a nucleic acid involving sequencing nucleic acid to generate a plurality of sequence reads. Reads are assembled to form a contig, which is aligned to a reference. Individual reads are aligned to the contig. Mutations are identified based on the alignments to the reference and to the contig.

Abstract: The invention relates to assembly of sequence reads. The invention provides a method for identifying a mutation in a nucleic acid involving sequencing nucleic acid to generate a plurality of sequence reads. Reads are assembled to form a contig, which is aligned to a reference. Individual reads are aligned to the contig. Mutations are identified based on the alignments to the reference and to the contig.

Abstract: Provided herein are novel methods, systems and processes for generating and analyzing sequence data for the determination of the presence or absence of one or more genetic variations within a genome of a subject.

Abstract: Provided herein, in some embodiments, are novel compositions and improved methods for nucleic acid manipulation and analysis that can be applied to multiplex nucleic acid sequencing. In certain embodiments, the novel compositions and methods presented herein are more cost effective, more conducive to automation, and faster than traditional approaches. Also provided herein are novel blocking nucleic acids.

Abstract: Provided herein are novel methods, systems and processes for mapping sequence reads to a modified reference genome and determining the presence or absence of a genetic variation, or the likelihood thereof, in a gene of interest in a subject.

Abstract: Methods for multiplex ligation-dependent probe amplification include (a) providing a sample tissue to query different target nucleic acids, (b) providing different probe sets for each of the target nucleic acids, each probe set including a first locus specific probe having a first adapter sequence and a first target specific portion and a second locus specific probe having a second adapter sequence, and a second target specific portion adjacent to the first target specific portion, (c) hybridizing the probe sets to the target sequences to form hybridization complexes, (d) ligating the hybridization complexes to form ligated probes, (e) amplifying the ligated probes to form amplicons, the amplifying step being carried out with a first universal primer including a region complementary to the first adapter sequence and a second universal primer including a region complementary to the second adapter sequence, and (f) detecting the amplicons in a detection system by sequencing each of the amplicons.

Abstract: Methods for multiplex ligation-dependent probe amplification include (a) providing a sample tissue to query different target nucleic acids, (b) providing different probe sets for each of the target nucleic acids, each probe set including a first locus specific probe having a first adapter sequence and a first target specific portion and a second locus specific probe having a second adapter sequence, and a second target specific portion adjacent to the first target specific portion, (c) hybridizing the probe sets to the target sequences to form hybridization complexes, (d) ligating the hybridization complexes to form ligated probes, (e) amplifying the ligated probes to form amplicons, the amplifying step being carried out with a first universal primer including a region complementary to the first adapter sequence and a second universal primer including a region complementary to the second adapter sequence, and (f) detecting the amplicons in a detection system by sequencing each of the amplicons.

Abstract: Systems and methods for biological sample processing are described. A production line extracts genomic DNA from a biological sample, amplifies target components of the sample and produces sequence data for markers from the amplified components. The markers are associated with tests identified in a requisition received with the sample and some markers may be associated with unrequisitioned tests. A sample information management system (SIMS) controls and monitors the production line and subsequent analysis of the results using information in a quality control (QC) database to validate the results. A repository comprising the QC database and a research database receives and aggregates the results without identifying the source of the sample. A portal may be provided to provide access to the research database to a plurality of external contributors. Contributors can selectively provide additional research data and data can be processed using data mining and curation tools.

Abstract: Systems and methods for biological sample processing are described. A production line extracts genomic DNA from a biological sample, amplifies target components of the sample and produces sequence data for markers from the amplified components. The markers are associated with tests identified in a requisition received with the sample and some markers may be associated with unrequisitioned tests. A sample information management system (SIMS) controls and monitors the production line and subsequent analysis of the results using information in a quality control (QC) database to validate the results. A repository comprising the QC database and a research database receives and aggregates the results without identifying the source of the sample. A portal may be provided to provide access to the research database to a plurality of external contributors. Contributors can selectively provide additional research data and data can be processed using data mining and curation tools.