Abstract: Provided are a preparation method for and use of a self-assembly-based nitrogen-doped ordered porous precious metal nanomaterial. The preparation method includes: with a pyridine nitrogen-containing amphiphilic block copolymer as a structure-directing agent and a phenolic resin as a template agent, adding a precious metal precursor, inducing self-assembly by means of volatilization of a solvent, and carbonizing in an inert atmosphere to prepare the nitrogen-doped ordered porous precious metal nanomaterial. The regularity, dispersity and uniformity of the precious metal nanomaterial are achieved; the problems of migration and inactivation after agglomeration of precious metal nanoparticles are solved; the lifespan of precious metal particles is prolonged; and in addition, the ORR electro-catalytic property of the material can be improved, and the nitrogen-doped ordered porous precious metal nanomaterial can be used to prepare a cathodic oxygen reduction catalyst for a fuel cell.

Abstract: Disclosed herein are methods and systems for determining the numbers of targets. In some embodiments, the method comprise: stochastically barcoding targets using stochastic barcodes; obtaining sequencing data; for one or more of the targets: counting the number of molecular labels with distinct sequences associated with the target in the sequencing data; identifying clusters of molecular labels of the target using directional adjacency; collapsing the sequencing data using the clusters of molecular labels of the target identified; and estimating the number of the target.

Abstract: Disclosed herein are methods and systems for determining the numbers of targets. In some embodiments, the method comprise: stochastically barcoding targets using stochastic barcodes; obtaining sequencing data; for one or more of the targets: counting the number of molecular labels with distinct sequences associated with the target in the sequencing data; identifying clusters of molecular labels of the target using directional adjacency; collapsing the sequencing data using the clusters of molecular labels of the target identified; and estimating the number of the target.

Abstract: Disclosed herein are methods and systems for determining the numbers of targets. In some embodiments, the method comprise: stochastically barcoding targets using stochastic barcodes; obtaining sequencing data; for one or more of the targets: counting the number of molecular labels with distinct sequences associated with the target in the sequencing data; identifying clusters of molecular labels of the target using directional adjacency; collapsing the sequencing data using the clusters of molecular labels of the target identified; and estimating the number of the target.

Abstract: Disclosed herein are methods and systems for determining the numbers of targets. In some embodiments, the method comprise: stochastically barcoding targets using stochastic barcodes; obtaining sequencing data; for one or more of the targets: counting the number of molecular labels with distinct sequences associated with the target in the sequencing data; identifying clusters of molecular labels of the target using directional adjacency; collapsing the sequencing data using the clusters of molecular labels of the target identified; and estimating the number of the target.