Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ilya Plyusnin"'
Autor:
Jenni Virtanen, Maria Hautaniemi, Lara Dutra, Ilya Plyusnin, Katja Hautala, Teemu Smura, Olli Vapalahti, Tarja Sironen, Ravi Kant, Paula M. Kinnunen
Publikováno v:
Emerging Infectious Diseases, Vol 29, Iss 9, Pp 1941-1944 (2023)
We report a sequencing protocol and 121-kb poxvirus sequence from a clinical sample from a horse in Finland with dermatitis. Based on phylogenetic analyses, the virus is a novel parapoxvirus associated with a recent epidemic; previous data suggest zo
Externí odkaz:
https://doaj.org/article/b1a22ba709364b05846364298efcb032
Autor:
Ilya Plyusnin, Phuoc Thien Truong Nguyen, Tarja Sironen, Olli Vapalahti, Teemu Smura, Ravi Kant
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-16 (2022)
Abstract Background SARS-CoV-2 is the highly transmissible etiologic agent of coronavirus disease 2019 (COVID-19) and has become a global scientific and public health challenge since December 2019. Several new variants of SARS-CoV-2 have emerged glob
Externí odkaz:
https://doaj.org/article/db6772b4d21440dd9cc470ec7c108dff
Autor:
Ravi Kant, Phuoc Truong Nguyen, Soile Blomqvist, Mert Erdin, Hussein Alburkat, Maija Suvanto, Fathiah Zakham, Veera Salminen, Viktor Olander, Minna Paloniemi, Leena Huhti, Sara Lehtinen, Bruno Luukinen, Hanna Jarva, Hannimari Kallio-Kokko, Satu Kurkela, Maija Lappalainen, Hanna Liimatainen, Sari Hannula, Jani Halkilahti, Jonna Ikonen, Niina Ikonen, Otto Helve, Marianne Gunell, Tytti Vuorinen, Ilya Plyusnin, Erika Lindh, Pekka Ellonen, Tarja Sironen, Carita Savolainen-Kopra, Teemu Smura, Olli Vapalahti
Publikováno v:
Emerging Infectious Diseases, Vol 27, Iss 12, Pp 3137-3141 (2021)
Severe acute respiratory syndrome coronavirus 2 Alpha and Beta variants became dominant in Finland in spring 2021 but had diminished by summer. We used phylogenetic clustering to identify sources of spreading. We found that outbreaks were mostly seed
Externí odkaz:
https://doaj.org/article/6dd49167c06843a4a2c7510652d08c4c
Autor:
Phuoc Thien Truong Nguyen, Ilya Plyusnin, Tarja Sironen, Olli Vapalahti, Ravi Kant, Teemu Smura
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-8 (2021)
Abstract Background SARS-CoV-2 related research has increased in importance worldwide since December 2019. Several new variants of SARS-CoV-2 have emerged globally, of which the most notable and concerning currently are the UK variant B.1.1.7, the So
Externí odkaz:
https://doaj.org/article/63ea369fde474f9e8a7434ccfcbb47e0
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 6, p e1010249 (2022)
[This corrects the article DOI: 10.1371/journal.pcbi.1007419.].
Externí odkaz:
https://doaj.org/article/2597620fb090495190f3664cf4a8904e
Publikováno v:
Viruses, Vol 15, Iss 2, p 431 (2023)
Viruses are the main agents causing emerging and re-emerging infectious diseases. It is therefore important to screen for and detect them and uncover the evolutionary processes that support their ability to jump species boundaries and establish thems
Externí odkaz:
https://doaj.org/article/068392186f09494eb120613f11a7800f
Autor:
Kristian M. Forbes, Paul W. Webala, Anne J. Jääskeläinen, Samir Abdurahman, Joseph Ogola, Moses M. Masika, Ilkka Kivistö, Hussein Alburkat, Ilya Plyusnin, Lev Levanov, Essi M. Korhonen, Eili Huhtamo, Dufton Mwaengo, Teemu Smura, Ali Mirazimi, Omu Anzala, Olli Vapalahti, Tarja Sironen
Publikováno v:
Emerging Infectious Diseases, Vol 25, Iss 5, Pp 955-957 (2019)
Bombali virus (genus Ebolavirus) was identified in organs and excreta of an Angolan free-tailed bat (Mops condylurus) in Kenya. Complete genome analysis revealed 98% nucleotide sequence similarity to the prototype virus from Sierra Leone. No Ebola vi
Externí odkaz:
https://doaj.org/article/dfa14932367644b7af2c04ab8737bd6d
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 11, p e1007419 (2019)
Automated protein annotation using the Gene Ontology (GO) plays an important role in the biosciences. Evaluation has always been considered central to developing novel annotation methods, but little attention has been paid to the evaluation metrics t
Externí odkaz:
https://doaj.org/article/8b213cf3f4444d7e981d7abb270cd34a
Publikováno v:
PLoS ONE, Vol 3, Iss 3, p e1742 (2008)
The ability to analyze and classify three-dimensional (3D) biological morphology has lagged behind the analysis of other biological data types such as gene sequences. Here, we introduce the techniques of data mining to the study of 3D biological shap
Externí odkaz:
https://doaj.org/article/46d9288565594284a0c6d3a9c2b653e8
Autor:
Fathiah Zakham, Soile Blomqvist, Jani Halkilahti, Sara Lehtinen, Sari Hannula, Ravi Kant, Pekka Ellonen, Hanna Liimatainen, Satu Kurkela, Viktor Olander, Veera Salminen, Tytti Vuorinen, Hanna Jarva, Jonna Ikonen, Leena Huhti, Maija Lappalainen, Niina Ikonen, Minna Paloniemi, Erika Lindh, Phuoc Truong Nguyen, Carita Savolainen-Kopra, Maija Suvanto, Hussein Alburkat, Bruno Luukinen, Ilya Plyusnin, Olli Vapalahti, Mert Erdin, Tarja Sironen, Marianne Gunell, Hannimari Kallio-Kokko, Otto Helve, Teemu Smura
Two SARS-CoV-2 Variants of Concern, Alpha (~ 80%) and Beta (~ 23%) rapidly became dominant in Finland in the spring of 2021 but diminished near summer. To assess their temporal epidemiological dynamics among Finnish cases, we began large-scale sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5667b44c9fc7e8a4eab0eb92a271ca65
https://doi.org/10.21203/rs.3.rs-753699/v1
https://doi.org/10.21203/rs.3.rs-753699/v1
