Browsing by Author "Colwell, Rita R."

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    A communal catalogue reveals Earth's multiscale microbial diversity
    Thompson, Luke R.; Sanders, Jon G.; McDonald, Daniel; Amir, Amnon; Ladau, Joshua; Locey, Kenneth J.; Prill, Robert J.; Tripathi, Anupriya; Gibbons, Sean M.; Ackermann, Gail; Navas-Molina, Jose A.; Janssen, Stefan; Kopylova, Evguenia; Vazquez-Baeza, Yoshiki; Gonzalez, Antonio; Morton, James T.; Mirarab, Siavash; Xu, Zhenjiang Zech; Jiang, Lingjing; Haroon, Mohamed F.; Kanbar, Jad; Zhu, Qiyun; Song, Se Jin; Kosciolek, Tomasz; Bokulich, Nicholas A.; Lefler, Joshua; Brislawn, Colin J.; Humphrey, Gregory; Owens, Sarah M.; Hampton-Marcell, Jarrad; Berg-Lyons, Donna; McKenzie, Valerie; Fierer, Noah; Fuhrman, Jed A.; Clauset, Aaron; Stevens, Rick L.; Shade, Ashley; Pollard, Katherine S.; Goodwin, Kelly D.; Jansson, Janet K.; Gilbert, Jack A.; Knight, Rob; Rivera, Jose L. Agosto; Al-Moosawi, Lisa; Alverdy, John; Amato, Katherine R.; Andras, Jason; Angenent, Largus T.; Antonopoulos, Dionysios A.; Apprill, Amy; Armitage, David; Ballantine, Kate; Barta, Jiri; Baum, Julia K.; Berry, Allison; Bhatnagar, Ashish; Bhatnagar, Monica; Biddle, Jennifer F.; Bittner, Lucie; Boldgiv, Bazartseren; Bottos, Eric M.; Boyer, Donal M.; Braun, Josephine; Brazelton, William; Brearley, Francis Q.; Campbell, Alexandra H.; Caporaso, J. Gregory; Cardona, Cesar; Carroll, JoLynn; Cary, S. Craig; Casper, Brenda B.; Charles, Trevor C.; Chu, Haiyan; Claar, Danielle C.; Clark, Robert G.; Clayton, Jonathan B.; Clemente, Jose C.; Cochran, Alyssa; Coleman, Maureen L.; Collins, Gavin; Colwell, Rita R.; Contreras, Monica; Crary, Benjamin B.; Creer, Simon; Cristol, Daniel A.; Crump, Byron C.; Cui, Duoying; Daly, Sarah E.; Davalos, Liliana; Dawson, Russell D.; Defazio, Jennifer; Delsuc, Frederic; Dionisi, Hebe M.; Dominguez-Bello, Maria Gloria; Dowell, Robin; Dubinsky, Eric A.; Dunn, Peter O.; Ercolini, Danilo; Espinoza, Robert E.; Ezenwa, Vanessa; Fenner, Nathalie; Findlay, Helen S.; Fleming, Irma D.; Fogliano, Vincenzo; Forsman, Anna; Freeman, Chris; Friedman, Elliot S.; Galindo, Giancarlo; Garcia, Liza; Alexandra Garcia-Amado, Maria; Garshelis, David; Gasser, Robin B.; Gerdts, Gunnar; Gibson, Molly K.; Gifford, Isaac; Gill, Ryan T.; Giray, Tugrul; Gittel, Antje; Golyshin, Peter; Gong, Donglai; Grossart, Hans-Peter; Guyton, Kristina; Haig, Sarah-Jane; Hale, Vanessa; Hall, Ross Stephen; Hallam, Steven J.; Handley, Kim M.; Hasan, Nur A.; Haydon, Shane R.; Hickman, Jonathan E.; Hidalgo, Glida; Hofmockel, Kirsten S.; Hooker, Jeff; Hulth, Stefan; Hultman, Jenni; Hyde, Embriette; Ibanez-Alamo, Juan Diego; Jastrow, Julie D.; Jex, Aaron R.; Johnson, L. Scott; Johnston, Eric R.; Joseph, Stephen; Jurburg, Stephanie D.; Jurelevicius, Diogo; Karlsson, Anders; Karlsson, Roger; Kauppinen, Seth; Kellogg, Colleen T. E.; Kennedy, Suzanne J.; Kerkhof, Lee J.; King, Gary M.; Kling, George W.; Koehler, Anson V.; Krezalek, Monika; Kueneman, Jordan G.; Lamendella, Regina; Landon, Emily M.; Lane-deGraaf, Kelly; LaRoche, Julie; Larsen, Peter; Laverock, Bonnie; Lax, Simon; Lentino, Miguel; Levin, Iris I.; Liancourt, Pierre; Liang, Wenju; Linz, Alexandra M.; Lipson, David A.; Liu, Yongqin; Lladser, Manuel E.; Lozada, Mariana; Spirito, Catherine M.; MacCormack, Walter P.; MacRae-Crerar, Aurora; Magris, Magda; Martin-Platero, Antonio M.; Martin-Vivaldi, Manuel; Margarita Martinez, L.; Martinez-Bueno, Manuel; Marzinelli, Ezequiel M.; Mason, Olivia U.; Mayer, Gregory D.; McDevitt-Irwin, Jamie M.; McDonald, James E.; McGuire, Krista L.; McMahon, Katherine D.; McMinds, Ryan; Medina, Monica; Mendelson, Joseph R., III; Metcalf, Jessica L.; Meyer, Folker; Michelangeli, Fabian; Miller, Kim; Mills, David A.; Minich, Jeremiah; Mocali, Stefano; Moitinho-Silva, Lucas; Moore, Anni; Morgan-Kiss, Rachael M.; Munroe, Paul; Myrold, David; Neufeld, Josh D.; Ni, Yingying; Nicol, Graeme W.; Nielsen, Shaun; Nissimov, Jozef I.; Niu, Kefeng; Nolan, Matthew J.; Noyce, Karen; O'Brien, Sarah L.; Okamoto, Noriko; Orlando, Ludovic; Castellano, Yadira Ortiz; Osuolale, Olayinka; Oswald, Wyatt; Parnell, Jacob; Peralta-Sanchez, Juan M.; Petraitis, Peter; Pfister, Catherine; Pilon-Smits, Elizabeth; Piombino, Paola; Pointing, Stephen B.; Pollock, F. Joseph; Potter, Caitlin; Prithiviraj, Bharath; Quince, Christopher; Rani, Asha; Ranjan, Ravi; Rao, Subramanya; Rees, Andrew P.; Richardson, Miles; Riebesell, Ulf; Robinson, Carol; Rockne, Karl J.; Rodriguezl, Selena Marie; Rohwer, Forest; Roundstone, Wayne; Safran, Rebecca J.; Sangwan, Naseer; Sanz, Virginia; Schrenk, Matthew; Schrenzel, Mark D.; Scott, Nicole M.; Seger, Rita L.; Seguin-Orlando, Andaine; Seldin, Lucy; Seyler, Lauren M.; Shakhsheer, Baddr; Sheets, Gabriela M.; Shen, Congcong; Shi, Yu; Shin, Hakdong; Shogan, Benjamin D.; Shutler, Dave; Siegel, Jeffrey; Simmons, Steve; Sjoling, Sara; Smith, Daniel P.; Soler, Juan J.; Sperling, Martin; Steinberg, Peter D.; Stephens, Brent; Stevens, Melita A.; Taghavi, Safiyh; Tai, Vera; Tait, Karen; Tan, Chia L.; Tas, Neslihan; Taylor, D. Lee; Thomas, Torsten; Timling, Ina; Turner, Benjamin L.; Urich, Tim; Ursell, Luke K.; van der Lelie, Daniel; Van Treuren, William; van Zwieten, Lukas; Vargas-Robles, Daniela; Thurber, Rebecca Vega; Vitaglione, Paola; Walker, Donald A.; Walters, William A.; Wang, Shi; Wang, Tao; Weaver, Tom; Webster, Nicole S.; Wehrle, Beck; Weisenhorn, Pamela; Weiss, Sophie; Werner, Jeffrey J.; West, Kristin; Whitehead, Andrew; Whitehead, Susan R.; Whittingham, Linda A.; Willerslev, Eske; Williams, Allison E.; Wood, Stephen A.; Woodhams, Douglas C.; Yang, Yeqin; Zaneveld, Jesse; Zarraonaindia, Iratxe; Zhang, Qikun; Zhao, Hongxia (2017-11-23)
    Our growing awareness of the microbial world's importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community samples collected by hundreds of researchers for the Earth Microbiome Project. Coordinated protocols and new analytical methods, particularly the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of diversity at an unprecedented scale. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth's microbial diversity.
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    An open challenge to advance probabilistic forecasting for dengue epidemics
    Johansson, Michael A.; Apfeldorf, Karyn M.; Dobson, Scott; Devita, Jason; Buczak, Anna L.; Baugher, Benjamin; Moniz, Linda J.; Bagley, Thomas; Babin, Steven M.; Guven, Erhan; Yamana, Teresa K.; Shaman, Jeffrey; Moschou, Terry; Lothian, Nick; Lane, Aaron; Osborne, Grant; Jiang, Gao; Brooks, Logan C.; Farrow, David C.; Hyun, Sangwon; Tibshirani, Ryan J.; Rosenfeld, Roni; Lessler, Justin; Reich, Nicholas G.; Cummings, Derek AT T.; Lauer, Stephen A.; Moore, Sean M.; Clapham, Hannah E.; Lowe, Rachel; Bailey, Trevor C.; Garcia-Diez, Markel; Carvalho, Marilia Sa; Rodo, Xavier; Sardar, Tridip; Paul, Richard; Ray, Evan L.; Sakrejda, Krzysztof; Brown, Alexandria C.; Meng, Xi; Osoba, Osonde; Vardavas, Raffaele; Manheim, David; Moore, Melinda; Rao, Dhananjai M.; Porco, Travis C.; Ackley, Sarah; Liu, Fengchen; Worden, Lee; Convertino, Matteo; Liu, Yang; Reddy, Abraham; Ortiz, Eloy; Rivero, Jorge; Brito, Humberto; Juarrero, Alicia; Johnson, Leah R.; Gramacy, Robert B.; Cohen, Jeremy M.; Mordecai, Erin A.; Murdock, Courtney C.; Rohr, Jason R.; Ryan, Sadie J.; Stewart-Ibarra, Anna M.; Weikel, Daniel P.; Jutla, Antarpreet; Khan, Rakibul; Poultney, Marissa; Colwell, Rita R.; Rivera-Garcia, Brenda; Barker, Christopher M.; Bell, Jesse E.; Biggerstaff, Matthew; Swerdlow, David; Mier-y-Teran-Romero, Luis; Forshey, Brett M.; Trtanj, Juli; Asher, Jason; Clay, Matt; Margolis, Harold S.; Hebbeler, Andrew M.; George, Dylan; Chretien, Jean-Paul (National Academy of Sciences, 2019-11-26)
    A wide range of research has promised new tools for forecasting infectious disease dynamics, but little of that research is currently being applied in practice, because tools do not address key public health needs, do not produce probabilistic forecasts, have not been evaluated on external data, or do not provide sufficient forecast skill to be useful. We developed an open collaborative forecasting challenge to assess probabilistic forecasts for seasonal epidemics of dengue, a major global public health problem. Sixteen teams used a variety of methods and data to generate forecasts for 3 epidemiological targets (peak incidence, the week of the peak, and total incidence) over 8 dengue seasons in Iquitos, Peru and San Juan, Puerto Rico. Forecast skill was highly variable across teams and targets. While numerous forecasts showed high skill for midseason situational awareness, early season skill was low, and skill was generally lowest for high incidence seasons, those for which forecasts would be most valuable. A comparison of modeling approaches revealed that average forecast skill was lower for models including biologically meaningful data and mechanisms and that both multimodel and multiteam ensemble forecasts consistently outperformed individual model forecasts. Leveraging these insights, data, and the forecasting framework will be critical to improve forecast skill and the application of forecasts in real time for epidemic preparedness and response. Moreover, key components of this project-integration with public health needs, a common forecasting framework, shared and standardized data, and open participation-can help advance infectious disease forecasting beyond dengue.
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    Validation of high throughput sequencing and microbial forensics applications
    Budowle, Bruce; Connell, Nancy D.; Bielecka-Oder, Anna; Colwell, Rita R.; Corbett, Cindi R.; Fletcher, Jacqueline; Forsman, Mats; Kadavy, Dana R.; Markotic, Alemka; Morse, Stephen A.; Murch, Randall Steven; Sajantila, Antti; Schmedes, Sarah E.; Ternus, Krista L.; Turner, Stephen D.; Minot, Samuel (2014-07-30)
    High throughput sequencing (HTS) generates large amounts of high quality sequence data for microbial genomics. The value of HTS for microbial forensics is the speed at which evidence can be collected and the power to characterize microbial-related evidence to solve biocrimes and bioterrorist events. As HTS technologies continue to improve, they provide increasingly powerful sets of tools to support the entire field of microbial forensics. Accurate, credible results allow analysis and interpretation, significantly influencing the course and/or focus of an investigation, and can impact the response of the government to an attack having individual, political, economic or military consequences. Interpretation of the results of microbial forensic analyses relies on understanding the performance and limitations of HTS methods, including analytical processes, assays and data interpretation. The utility of HTS must be defined carefully within established operating conditions and tolerances. Validation is essential in the development and implementation of microbial forensics methods used for formulating investigative leads attribution. HTS strategies vary, requiring guiding principles for HTS system validation. Three initial aspects of HTS, irrespective of chemistry, instrumentation or software are: 1) sample preparation, 2) sequencing, and 3) data analysis. Criteria that should be considered for HTS validation for microbial forensics are presented here. Validation should be defined in terms of specific application and the criteria described here comprise a foundation for investigators to establish, validate and implement HTS as a tool in microbial forensics, enhancing public safety and national security.