A collection of functions for processing raw data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers. 'STICr' (pronounced "sticker") includes functions for tidying, calibrating, classifying, and doing quality checks on data from STIC sensors.

The "single-cell-RNA-sequencing-compatible tracer for identifying clonal relationships" (STICR) barcoding libraries are lentiviral vectors encoding a CAG-GFP transgene with a pre-defined, error-correctable molecular barcode within the 3' UTR.

Description A collection of functions for processing raw data from Stream Temperature, Intermit-tency, and Conductivity (STIC) loggers. 'STICr' (pronounced sticker'') includes func- tions for tidying, calibrating, classifying, and doing quality checks on data from STIC sen-sors.

Introduction to STICr. The goal of STICr (pronounced “sticker”) is to provide a standardized set of functions for working with data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers, first described in Chapin et al. (2014). STICs and other intermittency sensors are becoming more popular, but their raw data output is ...

TrackerSeq is a 10X Genomics compatible method that labels cells with a unique lineage barcode. This repository contains scripts that can take take raw FASTQ files and convert them into clonal annotations. The process is divided mainly into four steps: A fastq file with lineage barcode sequences and headers indicating cell barcode and UMI.

Dec 15, 2021 · To determine lineage relationships of diverse cell types in the mouse forebrain, we first implemented a lentiviral lineage barcoding method called STICR (scRNA-seq-compatible tracer for ...

A collection of functions for processing raw data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers. 'STICr' (pronounced "sticker") includes functions for tidying, calibrating, classifying, and doing quality checks on data from STIC sensors.

####Integrating STICR Xenograft data into In Vitro datsets using In Vitro as reference dataset STICR.Subset.object<-merge(x=Cultured.Subset, y=Xenograft.Subset,merge.data=TRUE) …

The goal of STICr (pronounced “sticker”) is to provide a standardized set of functions for working with data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers, first described in Chapin et al. (2014).

STICr. The goal of STICr (pronounced “sticker”) is to provide a standardized set of functions for working with data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers, first described in Chapin et al. (2014). STICs and other intermittency sensors are becoming more popular, but their raw data output is not in a form that ...