Abstract: Developmental, stem cell and cancer biologists are interested in the molecular definition of cellular differentiation. Although single-cell RNA sequencing represents a transformational advance for global gene analyses, novel obstacles have emerged, including the computational management of dropout events, the reconstruction of biological pathways and the isolation of target cell populations. Provided herein is an algorithm named dpath that applies the concept of metagene entropy and allows the ranking of cells based on their differentiation potential. Also provided herein are self-organizing map (SOM) and random walk with restart (RWR) algorithms to separate the progenitors from the differentiated cells and reconstruct the lineage hierarchies in an unbiased manner. These algorithms were tested using single cells from Etv2-EYFP transgenic mouse embryos and reveal specific molecular pathways that direct differentiation programs involving the haemato-endothelial lineages.

Abstract: Base calls for a target sequence may be identified relative to a reference sequence by using values from sequencing reads at locations satisfying a high-confidence condition to identify base calls at a given location not satisfying the high-confidence condition. The high-confidence condition may relate to the level of coverage by the sequencing reads at a location of the reference sequence. The quality of measurements of the sequencing reads may be incorporated into the base-call process.

Abstract: Base calls for a target sequence may be identified relative to a reference sequence by using values from sequencing reads at locations satisfying a high-confidence condition to identify base calls at a given location not satisfying the high-confidence condition. The high-confidence condition may relate to the level of coverage by the sequencing reads at a location of the reference sequence. The quality of measurements of the sequencing reads may be incorporated into the base-call process.

Abstract: Base calls for a target sequence may be identified relative to a reference sequence by using values from sequencing reads at locations satisfying a high-confidence condition to identify base calls at a given location not satisfying the high-confidence condition. The high-confidence condition may relate to the level of coverage by the sequencing reads at a location of the reference sequence. The quality of measurements of the sequencing reads may be incorporated into the base-call process.

Abstract: Developmental, stem cell and cancer biologists are interested in the molecular definition of cellular differentiation. Although single-cell RNA sequencing represents a transformational advance for global gene analyses, novel obstacles have emerged, including the computational management of dropout events, the reconstruction of biological pathways and the isolation of target cell populations. Provided herein is an algorithm named dpath that applies the concept of metagene entropy and allows the ranking of cells based on their differentiation potential. Also provided herein are self-organizing map (SOM) and random walk with restart (RWR) algorithms to separate the progenitors from the differentiated cells and reconstruct the lineage hierarchies in an unbiased manner. These algorithms were tested using single cells from Etv2-EYFP transgenic mouse embryos and reveal specific molecular pathways that direct differentiation programs involving the haemato-endothelial lineages.

Abstract: Base calls for a target sequence may be identified relative to a reference sequence by using values from sequencing reads at locations satisfying a high-confidence condition to identify base calls at a given location not satisfying the high-confidence condition. The high-confidence condition may relate to the level of coverage by the sequencing reads at a location of the reference sequence. The quality of measurements of the sequencing reads may be incorporated into the base-call process.