PEPPRO: quality control and processing of nascent RNA profiling data
نویسندگان
چکیده
منابع مشابه
Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R
Motivation Single-cell RNA sequencing (scRNA-seq) is increasingly used to study gene expression at the level of individual cells. However, preparing raw sequence data for further analysis is not a straightforward process. Biases, artifacts and other sources of unwanted variation are present in the data, requiring substantial time and effort to be spent on pre-processing, quality control (QC) an...
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A pipeline for RNA-seq data processing and quality assessment
SUMMARY We present an R based pipeline, ArrayExpressHTS, for pre-processing, expression estimation and data quality assessment of high-throughput sequencing transcriptional profiling (RNA-seq) datasets. The pipeline starts from raw sequence files and produces standard Bioconductor R objects containing gene or transcript measurements for downstream analysis along with web reports for data qualit...
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چکیده ندارد.
Processing and quality control of DNA array hybridization data
MOTIVATION The technology of hybridization to DNA arrays is used to obtain the expression levels of many different genes simultaneously. It enables searching for genes that are expressed specifically under certain conditions. However, the technology produces large amounts of data demanding computational methods for their analysis. It is necessary to find ways to compare data from different expe...
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ژورنال
عنوان ژورنال: Genome Biology
سال: 2021
ISSN: 1474-760X
DOI: 10.1186/s13059-021-02349-4