High-Throughput Robust Analysis for Capillary Electrophoresis
We have prepared 12 datasets (1D and 2D) for more practice of manual Sequence Assignment (Step #4). They are previous data collected and annotated by experts from our lab. The expert assignments are included in the .mat workspace files.
To practice your skills, you need to do the sequence assignment on your own, and then compare your results to our ‘standarad’ answers. You may want to track down differences, and learn through this experience how to adjust them. This serves well for gaining experience on scenarios of common mistakes and how to fix them.
Download the additional files provided from this link.
Unpack the .zip file, and open MATLAB in that folder.
Selectively load results from the provided .mat workspace, to get it started. For example,
load('practice_1D_more_1.mat', 'd_align', 'd_ref_align', 'ylimit');
This is because we did not include the raw CE trace files. Thus, the
quick_look()
step is skipped for these practices, and you should resume from Step #2.
The
d_align
variable holds the essential data fromquick_look()
(Step #1). The above command loads it, amongd_ref_align
andylimit
from the .mat file.
d_align = d_align_before_more_alignment;
This is because the expert .mat result already have gone through the entire script, overwrote
d_align
withd_align_dp_fine
. For datasets that no additional alignment were performed (see corresponding .m scripts), ignore this.
Follow the provided .m script files to the Sequence Assignment (Step #4), and give your best shot!
Save your workspace to a different .mat file.
Do not overwrite the downloaded .mat files.
load
and clear
. Or, take advantage of the print_xsel_split()
command to compare assignments side-by-side on papers!Built with Jekyll using a RiboKit Theme . Hosted on GitHub Pages.