Pstools Download
Denisha Cerniglia
Some of my cleverer users are using the pstools suite to shutdown each others computers. I now know how to prevent them from doing so but is it possible that the pskill commands are being logged somewhere? While I know they're doing it I don't know exactly who it is.
Check the Event Viewer on a machine that you suspect was shutdown remotely. You should be able to find a log of the Shutdown command being given and it might have the user who issued the command. You may need to tweak some logging to get that (I know Server 2k3 logs WHO sent the command, not sure about XP).
There have been many posts on this site either requesting simple examples illustrating the pstool package, or providing (often not-simple) ones. I've tried all of them and none of them compile for me. I've also tried to read pstools.sty, which came with my installation, but unfortunately it contained no simple examples. It seems that the following MWE is about as simple as one could possibly get.
There's talk on the web about a file called pstool-statusfile.txt, which I don't understand, but I've touch'ed it, just in case, it's zero size before and after compilation. The file trial.eps was downloaded from
When running your MWE the log complained of missing packages so I added tikz and its calc library then it worked as expected. trial.eps here is a copy of example-image.eps that is in tex distributions (if I left it as example-image ot ran without error but found the png file rather than eps so coukd not do the replacement
Characterizing cancer genomes at the chromosome-scale with high resolution is critical for advancing personalized diagnosis and disease management. However, current short-read sequencing and analytical tools are not designed for cancer genomes and are insufficient for chromosome-scale analysis of structural variant (SV) landscapes. Recent work by Shilpa Garg at the Technical University of Denmark and the University of Copenhagen combined high-resolution sequencing techniques and a novel computational platform to accurately and precisely reconstruct cancer genomes.
Garg applied long and accurate PacBio HiFi sequencing and long-range Arima Hi-C data to melanoma COLO829 cancer cell lines to examine cancerous mutations at base and haplotype resolution. These data were then processed through a novel, high throughput graph-based computational tool, pstools. Garg demonstrates that combining these approaches enables precise characterization of SV landscapes of cancer genomes, outperforming many existing methods.
With the pstools approach, the author delineates several characteristics of the cancer genome that are often missed with current analytical tools such as HiCanu, Flye, trio-hifiasm, and salsa2. Importantly, pstools is fast and accurate, enabling high-throughput and routine analyses of fully phased sequences at the chromosome scale.
Shilpa Garg leveraged 3D genomic data generated using the Arima genome-wide HiC kit to obtain Hi-C reads that were then analyzed using pstools. Published in Nature Communications, this workflow provides a foundation for streamlining cancer genome research, with important implications for improving personalized cancer diagnosis and treatment.
In the Nature Communications article, Garg details novel sequencing and computational protocols for comprehensive cancer genome reconstruction. While highly promising, the author acknowledges that pstools is limited in its ability to characterize somatic genetic variation at low variant allele frequencies, requiring future studies that explore single-cell, long=read approaches.
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