Abstract: The invention provides methods for determining the growth rate of ctDNA, comprising (a) sequencing nucleic acids isolated from a biological sample of a cancer patient to identify patient-specific cancer mutations; (b) quantify the amount of ctDNA in a first liquid biopsy sample collected from the cancer patient by performing a multiplex amplification reaction to amplify target loci from cfDNA isolated from the first liquid biopsy sample, wherein each target locus spans at least one patient-specific cancer mutation, and sequencing the amplified target loci to identify the patient-specific cancer mutations and quantify the amount of ctDNA in the first liquid biopsy sample; (c) quantify the amount of ctDNA in a second liquid biopsy sample collected from the cancer patient by performing a multiplex amplification reaction to amplify target loci from cfDNA isolated from the second liquid biopsy sample, wherein each target locus spans at least one patient-specific cancer mutation, and sequencing the amplified target

Abstract: Methods, systems and computer readable media for removing trends in signal intensity values from features on a chemical array. Inputted signal values from features on the array are surface fitted to calculate a surface approximation. The surface approximation is normalized and used to de-trend the signal intensity values from the features.

Abstract: Methods, systems and computer readable media for removing trends in signal intensity values from features on a chemical array. Inputted signal values from features on the array are surface fitted to calculate a surface approximation. The surface approximation is normalized and used to de-trend the signal intensity values from the features.

Abstract: Methods, systems and computer readable media for removing trends in signal intensity values from features on a chemical array. Inputted signal values from features on the array are surface fitted to calculate a surface approximation. The surface approximation is normalized and used to de-trend the signal intensity values from the features.

Abstract: Methods, systems and computer readable media for removing trends in signal intensity values from features on a chemical array. Inputted signal values from features on the array are surface fitted to calculate a surface approximation. The surface approximation is normalized and used to de-trend the signal intensity values from the features.

Abstract: Methods are disclosed for predicting the performance of oligonucleotide probes by identifying the sequence of a candidate probe, generating experimental data for the probe and using the data to train a statistical regression model. Nucleic acid arrays containing probes with performance predicted by the described using methods are provided. Also included are algorithms for performing the subject methods recorded on computer-readable media, and computational systems for analysis.