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preview-update-submodules/featured-users/2024-11-21-unravelling-antibiotic-resistance.html

@@ -768,11 +768,11 @@ <h1>Erik Wright: A Biologist Using High Throughput Computing to Unravel Antibiot
 
 <p><em>Erik Wright, Associate Professor of Biomedical Informatics at the University of Pittsburgh</em></p>
 
-<p>As bacterial infections evolve to develop resistance to drugs, it is critical to investigate methodologies to slow resistance and, potentially, even reverse it. In his quest to discover new antibiotics to counter resistance, Erik Wright’s project, BioMedInfo aims to compare bacteria with resistant genomes by grouping them into a network of genes with related functions.</p>
+<p>As bacterial infections evolve to develop resistance to drugs, it is critical to investigate methodologies to slow resistance and, potentially, even reverse it. In his quest to discover new antibiotics to counter resistance, Erik Wright’s project, BioMedInfo, aims to compare bacteria with resistant genomes by grouping them into a network of genes with related functions.</p>
 
-<p>Originally studying natural antibiotic producers during his time at the University of Wisconsin Madison’s Ph.D. program in Microbiology, Wright’s lab now examines how to shift from the existing treatment paradigm to one that mimics how antibiotics were originally deployed in nature. To do so, Wright compares the genomes of microorganisms, including both those that produce and resist antibiotics. It’s a task that requires an exorbitant amount of computing power, processing huge data sets as separate computing jobs. That’s where the work of <a href="https://osg-htc.org/services/open_science_pool">Open Science Pool</a> (OSPool), an internationally recognized high throughput computing (HTC) resource, comes in.</p>
+<p>Originally studying natural antibiotic producers during his time at the University of Wisconsin Madison’s PhD program in Microbiology, Wright’s lab now examines how to shift from the existing treatment paradigm to one that mimics how antibiotics were originally deployed in nature. To do so, Wright compares the genomes of microorganisms, including both those that produce and resist antibiotics. It’s a task that requires an exorbitant amount of computing power, processing huge data sets as separate computing jobs. That’s where the work of <a href="https://osg-htc.org/services/open_science_pool">Open Science Pool</a> (OSPool), an internationally recognized high throughput computing (HTC) resource comes in.</p>
 
-<p>While pursuing his Ph.D. in Microbiology at the University of Wisconsin-Madison, <a href="https://www.pmi.pitt.edu/people/ant-235">Erik Wright</a> became familiar with the Center for High Throughput Computing (CHTC) and built relationships with the CHTC research facilitators who helped him organize tasks to run in a high throughput environment. Eight years after graduating with his PhD, Wright still relies on the OSPool for much of his work in genomics. Self-identifying as someone who found a niche of doing biology tied to computing, Wright sees significant value for HTC helping biologists investigate questions they can pursue with this capacity, stating that “without the right amount of capacity, some questions are kind of closed off.” While high throughput computing is not as commonly used in biology as it is in fields such as physics or astronomy, there is tremendous potential in this pairing, as HTC allows work that would otherwise take weeks on one centralized computer to be completed overnight. In the case of increasing biological genomes available to researchers like Wright, being able to process data quickly grants biologists the ability to respond quickly to the demands of their workload.</p>
+<p>While pursuing his PhD in Microbiology at the University of Wisconsin-Madison, <a href="https://www.pmi.pitt.edu/people/ant-235">Erik Wright</a> became familiar with the Center for High Throughput Computing (CHTC) and built relationships with the CHTC research facilitators who helped him organize tasks to run in a high throughput environment. Eight years after graduating with his PhD, Wright still relies on the OSPool for much of his work in genomics. Self-identifying as someone who found a niche of doing biology tied to computing, Wright sees significant value for HTC helping biologists investigate questions they can pursue with this capacity, stating that “without the right amount of capacity, some questions are kind of closed off.” While high throughput computing is not as commonly used in biology as it is in fields such as physics or astronomy, there is tremendous potential in this pairing, as HTC allows work that would otherwise take weeks on one centralized computer to be completed overnight. In the case of increasing biological genomes available to researchers like Wright, being able to process data quickly grants biologists the ability to respond quickly to the demands of their workload.</p>
 
 <p>Currently, at the <a href="https://www.pitt.edu/">University of Pittsburgh</a>, Erik Wright is a leading <a href="https://osg-htc.org/projects.html?project=BiomedInfo">user</a> of the OSPool by jobs and continues to adapt his work with the aid of CHTC research facilitators such as <a href="https://www.cs.wisc.edu/staff/koch-christina/">Christina Koch</a>. The OSPool harvests open capacity for its users from the idle space of contributing institutions. For users like Wright, this is beneficial because they can access enormous computing capacity. “I have stuck with the OSPool because the access is unprecedented — the amount of compute time you can get, the number of jobs you can run at a time,” he continued, “We don’t have to ask permission for everything we do with it. We can just do it.”</p>