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cellOrigins (version 0.1.3)

Finds RNASeq Source Tissues Using In Situ Hybridisation Data

Description

Finds the most likely originating tissue(s) and developmental stage(s) of tissue-specific RNA sequencing data. The package identifies both pure transcriptomes and mixtures of transcriptomes. The most likely identity is found through comparisons of the sequencing data with high-throughput in situ hybridisation patterns. Typical uses are the identification of cancer cell origins, validation of cell culture strain identities, validation of single-cell transcriptomes, and validation of identity and purity of flow-sorting and dissection sequencing products.

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Version

Install

install.packages('cellOrigins')

Monthly Downloads

168

Version

0.1.3

License

CC BY-NC-SA 4.0

Maintainer

David Molnar

Last Published

June 5th, 2020

Functions in cellOrigins (0.1.3)

cellOrigins-package

Finding the most likely originating tissue(s) and developmental stage(s) of RNASeq data
prior.temporal_proximity_is_good

Assign a prior probability to a combination of anatomical terms
discovery_probability

In situ discovery probability as a function of FPKM
discovery.log

Calculates discovery probability by RNA in situ hybridisation given a sequencing signal
seqVsInsitu

Determine the most likely source(s) of a tissue-specific RNAseq dataset
iterating_seqVsInsitu

Faster comparisons between mixed tissue-specific RNA sequencing data and high-throughput RNA in situ hybridisation
diagnosticPlots

Diagnostic plots to explore seqVsInsitu results
BDGP_insitu_dmel_embryo

Patterns of gene expression in Drosophila melanogaster embryos
vncMedianCoverage.tsv

Drosophila melanogaster embryo ventral nerve cord RNASeq coverage