Zobrazeno 1 - 10
of 6 214
pro vyhledávání: '"Zelikovsky, A."'
Autor:
Munteanu, Viorel, Gordeev, Victor, Saldana, Michael, Aßmann, Eva, Su, Justin Maine, Drabcinski, Nicolae, Zlenko, Oksana, Kit, Maryna, Iordachi, Felicia, Patel, Khooshbu Kantibhai, Nahid, Abdullah Al, Chittampalli, Likhitha, Xu, Yidian, Skums, Pavel, Agrawal, Shelesh, Hölzer, Martin, Smith, Adam, Zelikovsky, Alex, Mangul, Serghei
In light of the continuous transmission and evolution of SARS-CoV-2 coupled with a significant decline in clinical testing, there is a pressing need for scalable, cost-effective, long-term, passive surveillance tools to effectively monitor viral vari
Externí odkaz:
http://arxiv.org/abs/2309.16994
Autor:
Munteanu, Viorel, Saldana, Michael, Ciorba, Dumitru, Bostan, Viorel, Su, Justin Maine, Kasianchuk, Nadiia, Sharma, Nitesh Kumar, Knyazev, Sergey, Gordeev, Victor, Aßmann, Eva, Lobiuc, Andrei, Covasa, Mihai, Crandall, Keith A., Ouyang, Wenhao O., Wu, Nicholas C., Mason, Christopher, Tierney, Braden T, Lucaci, Alexander G, Zelikovsky, Alex, Mohebbi, Fatemeh, Skums, Pavel, Gibas, Cynthia, Schlueter, Jessica, Rzymski, Piotr, Solo-Gabriele, Helena, Hölzer, Martin, Smith, Adam, Mangul, Serghei
During the SARS-CoV-2 pandemic, wastewater-based genomic surveillance (WWGS) emerged as an efficient viral surveillance tool that takes into account asymptomatic cases and can identify known and novel mutations and offers the opportunity to assign kn
Externí odkaz:
http://arxiv.org/abs/2309.13326
Autor:
Ali, Sarwan, Sahoo, Bikram, Khan, Muhammad Asad, Zelikovsky, Alexander, Khan, Imdad Ullah, Patterson, Murray
Machine learning (ML) models, such as SVM, for tasks like classification and clustering of sequences, require a definition of distance/similarity between pairs of sequences. Several methods have been proposed to compute the similarity between sequenc
Externí odkaz:
http://arxiv.org/abs/2209.04952
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract The emergence of viral variants with altered phenotypes is a public health challenge underscoring the need for advanced evolutionary forecasting methods. Given extensive epistatic interactions within viral genomes and known viral evolutionar
Externí odkaz:
https://doaj.org/article/f7927467b2ad4ca9a5bc96ad7d63a0e6
Autor:
Guralnick, Robert
Publikováno v:
The Quarterly Review of Biology, 2008 Dec . 83(4), 389-389.
Externí odkaz:
https://www.jstor.org/stable/10.1086/596224
Autor:
Knyazev, Sergey, Chhugani, Karishma, Sarwal, Varuni, Ayyala, Ram, Singh, Harman, Karthikeyan, Smruthi, Deshpande, Dhrithi, Comarova, Zoia, Lu, Angela, Porozov, Yuri, Wu, Aiping, Abedalthagafi, Malak, Nagaraj, Shivashankar, Smith, Adam, Skums, Pavel, Ladner, Jason, Lam, Tommy Tsan-Yuk, Wu, Nicholas, Zelikovsky, Alex, Knight, Rob, Crandall, Keith, Mangul, Serghei
More than any other infectious disease epidemic, the COVID-19 pandemic has been characterized by the generation of large volumes of viral genomic data at an incredible pace due to recent advances in high-throughput sequencing technologies, the rapid
Externí odkaz:
http://arxiv.org/abs/2104.14005
Autor:
Alser, Mohammed, Rotman, Jeremy, Taraszka, Kodi, Shi, Huwenbo, Baykal, Pelin Icer, Yang, Harry Taegyun, Xue, Victor, Knyazev, Sergey, Singer, Benjamin D., Balliu, Brunilda, Koslicki, David, Skums, Pavel, Zelikovsky, Alex, Alkan, Can, Mutlu, Onur, Mangul, Serghei
Publikováno v:
Genome Biol . Aug 26;22(1):249, 2021
Massively parallel sequencing techniques have revolutionized biological and medical sciences by providing unprecedented insight into the genomes of humans, animals, and microbes. Modern sequencing platforms generate enormous amounts of genomic data i
Externí odkaz:
http://arxiv.org/abs/2003.00110
Akademický článek
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Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract The rapid spread of the COVID-19 pandemic has resulted in an unprecedented amount of sequence data of the SARS-CoV-2 genome—millions of sequences and counting. This amount of data, while being orders of magnitude beyond the capacity of tra
Externí odkaz:
https://doaj.org/article/d8e00b89b1be48e1bdc2cb8afea3c655
Autor:
Brito, Jaqueline J., Mosqueiro, Thiago, Rotman, Jeremy, Xue, Victor, Chapski, Douglas J., De la Hoz, Juan, Matias, Paulo, Martin, Lana, Zelikovsky, Alex, Pellegrinni, Matteo, Mangul, Serghei
In today's world of big data, computational analysis has become a key driver of biomedical research. Recent exponential growth in the volume of available omics data has reshaped the landscape of contemporary biology, creating demand for a continuous
Externí odkaz:
http://arxiv.org/abs/1909.12469