Quantitative analysis of differences in copy numbers using read depth obtained from PCR-enriched samples and controls von Reinecke, Frank, Satya, Ravi Vijaya, DiCarlo, John

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The Surgical Management of Bladder Polyps in the Setting of Exstrophy Epispadias Complex von Jayman, John, Tourchi, Ali, Shabaninia, Mahsa, Maruf, Mahir, DiCarlo, Heather, Gearhart, John P.

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Association Between Inherited Germline Mutations in Cancer Predisposition Genes and Risk of Pancreatic Cancer von Hu, Chunling, Hart, Steven N, Polley, Eric C, Gnanaolivu, Rohan, Shimelis, Hermela, Lee, Kun Y, Lilyquist, Jenna, Na, Jie, Moore, Raymond, Antwi, Samuel O, Bamlet, William R, Chaffee, Kari G, DiCarlo, John, Wu, Zhong, Samara, Raed, Kasi, Pashtoon M, McWilliams, Robert R, Petersen, Gloria M, Couch, Fergus J

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Comparison of somatic mutation calling methods in amplicon and whole exome sequence data von Xu, Huilei, DiCarlo, John, Satya, Ravi Vijaya, Peng, Quan, Wang, Yexun

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Detecting very low allele fraction variants using targeted DNA sequencing and a novel molecular barcode-aware variant caller von Xu, Chang, Nezami Ranjbar, Mohammad R, Wu, Zhong, DiCarlo, John, Wang, Yexun

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smCounter2: an accurate low-frequency variant caller for targeted sequencing data with unique molecular identifiers von Xu, Chang, Gu, Xiujing, Padmanabhan, Raghavendra, Wu, Zhong, Peng, Quan, DiCarlo, John, Wang, Yexun

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Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting von Jarrett, Angela M., Kazerouni, Anum S., Wu, Chengyue, Virostko, John, Sorace, Anna G., DiCarlo, Julie C., Hormuth, David A., Ekrut, David A., Patt, Debra, Goodgame, Boone, Avery, Sarah, Yankeelov, Thomas E.

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Anterior Inferotemporal Neurons of Monkeys Engaged in Object Recognition Can be Highly Sensitive to Object Retinal Position von DiCarlo, James J, Maunsell, John H. R

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Using Neuronal Latency to Determine Sensory-Motor Processing Pathways in Reaction Time Tasks von DiCarlo, James J, Maunsell, John H. R

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Targeted Single Primer Enrichment Sequencing with Single End Duplex-UMI von Peng, Quan, Xu, Chang, Kim, Daniel, Lewis, Marcus, DiCarlo, John, Wang, Yexun

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An untrained deep learning method for reconstructing dynamic magnetic resonance images from accelerated model-based data von Slavkova, Kalina P., DiCarlo, Julie C., Wadhwa, Viraj, Kumar, Sidharth, Wu, Chengyue, Virostko, John, Yankeelov, Thomas E., Tamir, Jonathan I.

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The rate of breast fibroglandular enhancement during dynamic contrast-enhanced MRI reflects response to neoadjuvant therapy von Virostko, John, Kuketz, Garrett, Higgins, Erin, Wu, Chengyue, Sorace, Anna G., DiCarlo, Julie C., Avery, Sarah, Patt, Debra, Goodgame, Boone, Yankeelov, Thomas E.

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Abstract 5300: smCounter2, a highly accurate UMI-aware variant caller and its applications in detecting 0.5-1% somatic mutations using targeted panel sequencing von Xu, Chang, Gu, Xiujing, Wu, Zhong, DiCarlo, John, Wang, Yexun

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Edge effects in calling variants from targeted amplicon sequencing von Satya, Ravi Vijaya, DiCarlo, John

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Abstract 5356: Robust gene fusion detection in formalin-fixed tissue sample with QIAseq RNAscan Oncology Panel von Falk, Jeffrey, Sitlani, Parth, Orosco, Claire, Panjikaran, Maya, Weiner, Dana, Tian, Song, Samara, Raed, DiCarlo, John, Wang, Yexun, Lader, Eric, Reinecke, Frank

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Abstract 4879: Reducing amplification artifacts in highly multiplex amplicon sequencing by using molecular barcodes von Peng, Quan, Vijaya Satya, Ravi, Lewis, Marcus, Randad, Pranay, DiCarlo, John, Wang, Yexun

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Review and management of 46,XY Disorders of Sex Development von Massanyi, Eric Z, DiCarlo, Heather N, Migeon, Claude J, Gearhart, John P

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Abstract LB-10: A gene expression signature reflects the regulatory status of Wnt/β-catenin pathway activity von Wu, Zhong, DiCarlo, John, Wang, Yexun

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Pathway Signature PCR Array: a novel method for studying inflammatory responses (173.11) von Wu, Zhong, Schlumpberger, Martin, Raza, Sameen, Yu, Jiaye, DiCarlo, John, Wang, Yexun, Devgan, Vikram

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Abstract A43: Gene expression signature for Wnt/β-catenin signaling pathway von Wu, Zhong, DiCarlo, John, Wang, Yexun, Devgan, Vikram

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