Adaptyv
Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein s…
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Analyzes isoform switching events and functional consequences using IsoformSwitchAnalyzeR. Predicts protein domain changes, NMD sensitivity, ORF alterations, and coding potential shifts between conditions. Use when investigating how splicing changes affect protein function.
原始来源
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-isoform-switching
技能摘要
原始文档
Goal: Identify genes where the dominant isoform switches between conditions.
Approach: Import Salmon quantification, filter low-expression isoforms, and test for isoform usage changes with DEXSeq-based statistics.
"Analyze isoform switching" -> Import transcript quantification, test for dominant isoform changes, and assess functional consequences.
IsoformSwitchAnalyzeR (importRdata + isoformSwitchTestDEXSeq)library(IsoformSwitchAnalyzeR)
## Create switch analysis object
switchAnalyzeRlist <- importRdata(
isoformCountMatrix = salmonQuant$counts,
isoformRepExpression = salmonQuant$abundance,
designMatrix = data.frame(
sampleID = colnames(salmonQuant$counts),
condition = c('control', 'control', 'control', 'treatment', 'treatment', 'treatment')
),
isoformExonAnnoation = 'annotation.gtf',
isoformNtFasta = 'transcripts.fa'
)
## Filter lowly expressed isoforms
switchAnalyzeRlist <- preFilter(
switchAnalyzeRlist,
geneExpressionCutoff = 1, # Minimum TPM
isoformExpressionCutoff = 0,
removeSingleIsoformGenes = TRUE
)
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