My lab has been using the Agilent 50Mb SureSelect Human All Exon kit for many months now. Though the data is acceptable, we can’t help but wonder why our coverage plots look so different from Agilent coverage plots. (see attachment) Do other users produce data that results in coverage plots similar to those advertised by Agilent? If so, do you have any suggestions as to why we are seeing this disparity? Or, are our results the accepted norm?
Header Leaderboard Ad
Collapse
Agilent human exon coverage plots
Collapse
Announcement
Collapse
No announcement yet.
X
-
Your curves are consistent with what I see when running Agilent 50M SureSelect with paired 100bp reads.
Not sure what this "Agilent's data" curve you're showing is, but it may be due to any number of things--library prep, Agilent likely used paired 76bp reads (which they recommend), et cetera.Mendelian Disorder: A blogshare of random useful information for general public consumption. [Blog]
Breakway: A Program to Identify Structural Variations in Genomic Data [Website] [Forum Post]
Projects: U87MG whole genome sequence [Website] [Paper]
Comment
-
Thanks for the input.
Do you see similar coverage plots for Agilent mouse?
We have noticed that the curves for mouse differ greatly from human, using the same protocol, reagents and technicians. See attachment.Attached Files
Comment
-
I don't understand the Y-axis here. What are you calling "the exome"?
Haven't done Mouse myself. But again, I would not fret over this.
The Sureselect 50M performance is still high over its targets regardless.Mendelian Disorder: A blogshare of random useful information for general public consumption. [Blog]
Breakway: A Program to Identify Structural Variations in Genomic Data [Website] [Forum Post]
Projects: U87MG whole genome sequence [Website] [Paper]
Comment
-
Script
Originally posted by SMO View PostMy lab has been using the Agilent 50Mb SureSelect Human All Exon kit for many months now. Though the data is acceptable, we can’t help but wonder why our coverage plots look so different from Agilent coverage plots. (see attachment) Do other users produce data that results in coverage plots similar to those advertised by Agilent? If so, do you have any suggestions as to why we are seeing this disparity? Or, are our results the accepted norm?
could you provide the script, with which you have generated the plot shown in "human coverage plot.pdf" ?
Comment
Latest Articles
Collapse
-
by seqadmin
The introduction of single-cell sequencing has advanced the ability to study cell-to-cell heterogeneity. Its use has improved our understanding of somatic mutations1, cell lineages2, cellular diversity and regulation3, and development in multicellular organisms4. Single-cell sequencing encompasses hundreds of techniques with different approaches to studying the genomes, transcriptomes, epigenomes, and other omics of individual cells. The analysis of single-cell sequencing data i
...-
Channel: Articles
01-24-2023, 01:19 PM -
-
by seqadminSingle-cell sequencing is a technique used to investigate the genome, transcriptome, epigenome, and other omics of individual cells using high-throughput sequencing. This technology has provided many scientific breakthroughs and continues to be applied across many fields, including microbiology, oncology, immunology, neurobiology, precision medicine, and stem cell research.
The advancement of single-cell sequencing began in 2009 when Tang et al. investigated the single-cell transcriptomes...-
Channel: Articles
01-09-2023, 03:10 PM -
ad_right_rmr
Collapse
Comment