Nature BiotechnologyBioinformaticsPeer-reviewed journal article
Flexible analysis of transcriptome assemblies with Ballgown
Alyssa C Frazee, Geo Pertea, Andrew E Jaffe, Ben LangmeadiD, Steven L Salzberg, Jeffrey T Leek
Abstract
Introduction Introduction Negative control experiment Positive control experiment Confirmation of statistical... Analysis of RNA-seq experiments... Analysis of quantitative... Expression quantitative trait... Computational Efficiency Summary References A key advantage of RNA sequencing (RNA-seq) over hybridization-based technologies such as microarrays is that RNA-seq makes it possible to reconstruct complete gene structures, including multiple splice variants, from raw RNA-seq reads without relying on previously-established annotations [20, 32, 9]. But with this added flexibility, there are increased computational demands on upstream processing tasks such as alignment and ass ...
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant effect prediction
- approach: deep learning
- approach: statistical model
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