CeL-ID: cell line identification using RNA-seq data
نویسندگان
چکیده
منابع مشابه
ARH-seq: identification of differential splicing in RNA-seq data
The computational prediction of alternative splicing from high-throughput sequencing data is inherently difficult and necessitates robust statistical measures because the differential splicing signal is overlaid by influencing factors such as gene expression differences and simultaneous expression of multiple isoforms amongst others. In this work we describe ARH-seq, a discovery tool for differ...
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Next Generation Sequencing (NGS) methods are rapidly becoming the most popular paradigm for exploring genomic data. RNA-Seq is a NGS method that enables gene expression analyses. Raw sequencing data generated by researchers is actively submitted to public databases as part of the requirements for publishing in academic journals. Raw sequencing data is quite large in size and analysis of each ex...
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As RNA-seq is replacing gene expression microarrays to assess genome-wide transcription abundance, gene expression Quantitative Trait Locus (eQTL) studies using RNA-seq have emerged. RNA-seq delivers two novel features that are important for eQTL studies. First, it provides information on allele-specific expression (ASE), which is not available from gene expression microarrays. Second, it gener...
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Circular RNAs (circRNAs) are a group of single-stranded RNAs in closed circular form. They are splicing-generated, widely expressed in various tissues and have functional implications in development and diseases. To facilitate genome-wide characterization of circRNAs using RNA-Seq data, we present a freely available software package named acfs. Acfs allows de novo, accurate and fast identificat...
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ژورنال
عنوان ژورنال: BMC Genomics
سال: 2019
ISSN: 1471-2164
DOI: 10.1186/s12864-018-5371-9