Difference between revisions of "HLab:Qualitymetrics"
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: Three numbers from RSeQC infer_experiment.py that describe the strandedness of the reads. It speculates how RNA-seq sequencing were configured, especially how reads were stranded for strand-specific RNA-seq data, through comparing reads’ mapping information to the underneath gene model. For stranded experiments the numbers are expected to approach .99:.01:0, or .01:.99:0 for unstranded .50:.50:0. | : Three numbers from RSeQC infer_experiment.py that describe the strandedness of the reads. It speculates how RNA-seq sequencing were configured, especially how reads were stranded for strand-specific RNA-seq data, through comparing reads’ mapping information to the underneath gene model. For stranded experiments the numbers are expected to approach .99:.01:0, or .01:.99:0 for unstranded .50:.50:0. | ||
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Revision as of 14:57, 19 December 2014
ChIP-seq
ChIP-seq Guidelines from ENCODE (2012) article
- FRIP
- Fraction of Reads in Peaks, a value of greater than or equal to 0.01 is considered good.
- NSC
- Normalized Strand Coefficient, The normalized ratio between the fragment-length cross-correlation peak and the background cross-correlation. A value of greater than or equal to 1.05 is considered good.
- RSC
- Relative Strand Correlation, ratio between the fragment-length peak and the read-length peak. A value of greater than or equal to 0.8 is considered good.
- Complexity
- This is computed on a sampling of the reads if more than 10M, using Georgi's method. A value greater than or equal to 0.80 is considered good.
- Duplication level
- The duplication rate reported by FastQC. It is based on all reads even those that do not map.
- Percent GC
- The percent of nucleotides that are GC as reported by FastQC. It is based on all reads even those that do not map.
RNA-seq
Standards, Guidelines and Best Practices for RNA-Seq V1.0 (June 2011)
- FRIT
- Fraction of Reads in Target, for Total script this is anywhere in the gene.
- Percent rRNA
- Percent of the alignments that overlap rRNA as downloaded from UCSC.
- Number of expressed genes
- Count of genes with RSEM TPM greater than 1. Should be similar between replicates.
- Number of spike-ins
- Count of reads mapping to spike-ins.
- Duplication level
- The duplication rate reported by FastQC. It is based on all reads even those that do not map.
- Percent GC
- The percent of nucleotides that are GC as reported by FastQC. It is based on all reads even those that do not map.
- Strand specificity
- Three numbers from RSeQC infer_experiment.py that describe the strandedness of the reads. It speculates how RNA-seq sequencing were configured, especially how reads were stranded for strand-specific RNA-seq data, through comparing reads’ mapping information to the underneath gene model. For stranded experiments the numbers are expected to approach .99:.01:0, or .01:.99:0 for unstranded .50:.50:0.
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