Difference between revisions of "HLab:Qualitymetrics"
From CCGB
(→RNA-seq) |
(→RNA-seq) |
||
(3 intermediate revisions by the same user not shown) | |||
Line 14: | Line 14: | ||
;Percent GC | ;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. | : The percent of nucleotides that are GC as reported by FastQC. It is based on all reads even those that do not map. | ||
− | ;MAD | + | ;MAD of log ratios |
− | : | + | : mean absolute deviation of log ratios, Rafa's measure for replicate quality |
== RNA-seq == | == RNA-seq == | ||
Line 33: | Line 33: | ||
;Strand specificity | ;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. | : 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. | ||
− | ;MAD | + | ;MAD of log ratios |
− | : mean absolute deviation, Rafa's measure of replicate quality | + | : mean absolute deviation of log ratios, Rafa's measure of replicate quality. Only looks at genes that are non-zero in both replicates. |
Return to [[HLab:Main]] | Return to [[HLab:Main]] |
Latest revision as of 15:09, 23 January 2017
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.
- MAD of log ratios
- mean absolute deviation of log ratios, Rafa's measure for replicate quality
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.
- MAD of log ratios
- mean absolute deviation of log ratios, Rafa's measure of replicate quality. Only looks at genes that are non-zero in both replicates.
Return to HLab:Main