[{"innerBlocks":[],"name":"core\/freeform","postId":3291,"blockType":{"name":"core\/freeform","keywords":[],"attributes":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"providesContext":[],"usesContext":[],"selectors":[],"supports":{"className":false,"customClassName":false,"reusable":false},"styles":[],"variations":[],"apiVersion":3,"title":"Classic","description":"Use the classic WordPress editor.","category":"text"},"originalContent":"For researchers exploring the complexity of cancer genomes linked to mutations that carry increased risks for the disease, it can be like searching for a proverbial needle in a haystack.

However, supercomputers at the Texas Advanced Computing Center in Austin, given their ability to manage and analyze massive datasets, are helping to find correlations between chromosomal rearrangements\u2014one of the hallmarks of cancer genomes.

\u201cOne of the things we\u2019d like to understand in a predictive sense is where mutations are likely to occur, because mutations can lead to cancerous outcomes,\u201d says Matt Vaughn, director of life sciences computing at the University of Texas at Austin\u2019s TACC.

Chromosomal rearrangements in cancer genomes are critical for diagnosis and treatment, adds Vaughn, noting that \u201cpieces of chromosome literally break and reattach, and the pieces don\u2019t necessary fit well together.\u201d

Leveraging TACC\u2019s Lonestar and Stampede supercomputers and tailored algorithms, researchers from UT-Austin, the University of Texas MD Anderson Cancer Center, and Cardiff University tested the hypothesis that potential non-B DNA structures (PONDS) might be found at, or near, rearrangement breakpoints or locations on a chromosome where DNA might get deleted, inverted or swapped around.

Also See<\/b>: University of Texas supercomputer speeds real-time MRI analysis<\/a>

\u201cThe significance of PONDS is being able to predict where that might happen,\u201d says Vaughn. \u201cIt kind of gives you an approximate roadmap of places that you might be able to look in the genome when you\u2019re trying to find causative mutations that might have led to a cancerous or pre-cancerous condition.\u201d

Researchers utilizing the supercomputers at TACC found a significant association between PONDS-forming sequences and cancer, concluding that they represent an intrinsic risk factor for genomic rearrangements in cancer genomes.

\u201cThere was a strong correlation between the location of PONDS sequences and rearrangements,\u201d he observes, noting that understanding the processes by which PONDS lead to chromosomal rearrangements impacting cancer will be important for future diagnosis and treatment. \u201cThat was a good outcome.\u201d","saveContent":"For researchers exploring the complexity of cancer genomes linked to mutations that carry increased risks for the disease, it can be like searching for a proverbial needle in a haystack.

However, supercomputers at the Texas Advanced Computing Center in Austin, given their ability to manage and analyze massive datasets, are helping to find correlations between chromosomal rearrangements\u2014one of the hallmarks of cancer genomes.

\u201cOne of the things we\u2019d like to understand in a predictive sense is where mutations are likely to occur, because mutations can lead to cancerous outcomes,\u201d says Matt Vaughn, director of life sciences computing at the University of Texas at Austin\u2019s TACC.

Chromosomal rearrangements in cancer genomes are critical for diagnosis and treatment, adds Vaughn, noting that \u201cpieces of chromosome literally break and reattach, and the pieces don\u2019t necessary fit well together.\u201d

Leveraging TACC\u2019s Lonestar and Stampede supercomputers and tailored algorithms, researchers from UT-Austin, the University of Texas MD Anderson Cancer Center, and Cardiff University tested the hypothesis that potential non-B DNA structures (PONDS) might be found at, or near, rearrangement breakpoints or locations on a chromosome where DNA might get deleted, inverted or swapped around.

Also See<\/b>: University of Texas supercomputer speeds real-time MRI analysis<\/a>

\u201cThe significance of PONDS is being able to predict where that might happen,\u201d says Vaughn. \u201cIt kind of gives you an approximate roadmap of places that you might be able to look in the genome when you\u2019re trying to find causative mutations that might have led to a cancerous or pre-cancerous condition.\u201d

Researchers utilizing the supercomputers at TACC found a significant association between PONDS-forming sequences and cancer, concluding that they represent an intrinsic risk factor for genomic rearrangements in cancer genomes.

\u201cThere was a strong correlation between the location of PONDS sequences and rearrangements,\u201d he observes, noting that understanding the processes by which PONDS lead to chromosomal rearrangements impacting cancer will be important for future diagnosis and treatment. \u201cThat was a good outcome.\u201d","order":0,"get_parent":{},"attributes":[],"attributesType":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"dynamicContent":""}]

Supercomputers help mine cancer data to identify risk factors

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