Abstract: Some aspects provide for techniques for genotyping cells in a biological sample. In some embodiments, the techniques include: obtaining single cell DNA sequence (scDNA-seq) data for a plurality of droplets; and genotyping the cells using the scDNA-seq data, the genotyping comprising determining for each droplet, a genotype for a locus of a respective genome of at least one cell associated with the droplet, the determining comprising: identifying, from among the plurality of droplets, a first set of droplets associated with cells that are homozygous at the locus; identifying, from among the plurality of droplets not in the first set of droplets, a second set of droplets associated with more than two alleles at the locus; and identifying, from among the plurality of droplets not in the first or second sets of droplets, a third set of droplets associated with cells that are heterozygous at the locus.

Abstract: Disclosed are a recombinant expression vector and a host cell that contains the vector.

Abstract: Disclosed are a recombinant expression vector and a host cell that contains the vector.

Abstract: The present invention discloses methods and systems for analyzing microarray data. The method includes the general steps of providing microarray data, normalizing the data using a least trimmed squares regression, and then analyzing the normalized microarray data to obtain a desired result such as an expression profile. There is also disclosed a method of subdividing an array into subarrays before normalization. This approach provides a method for improving measurement accuracy and salvaging array data from arrays containing minor defects. Also disclosed is a Probe-Treatment-Reference (PTR) model for streamlining normalization and summarization of microarray data by allowing multiple references. Other aspects of the present invention include computer systems and computer readable media encoding methods of the present invention.

Abstract: The present invention discloses methods and systems for analyzing microarray data. The method includes the general steps of providing microarray data, normalizing the data using a least trimmed squares regression, and then analyzing the normalized microarray data to obtain a desired result such as an expression profile. There is also disclosed a method of subdividing an array into subarrays before normalization. This approach provides a method for improving measurement accuracy and salvaging array data from arrays containing minor defects. Also disclosed is a Probe-Treatment-Reference (PTR) model for streamlining normalization and summarization of microarray data by allowing multiple references. Other aspects of the present invention include computer systems and computer readable media encoding methods of the present invention.