Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Sarwan Ali"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2239 (2024)
Cancer remains one of the leading causes of death globally. New immunotherapies that harness the patient’s immune system to fight cancer show promise, but their development requires analyzing the diversity of immune cells called T-cells. T-cells ha
Externí odkaz:
https://doaj.org/article/81bf843478f94513a40730c5aca0fc67
Autor:
Sarwan Ali, Murray Patterson
Publikováno v:
J, Vol 6, Iss 4, Pp 579-591 (2023)
Data visualization plays a crucial role in gaining insights from high-dimensional datasets. ISOMAP is a popular algorithm that maps high-dimensional data into a lower-dimensional space while preserving the underlying geometric structure. However, ISO
Externí odkaz:
https://doaj.org/article/ddbfe7f4b15b43f9bcd10369cfccb09f
Publikováno v:
J, Vol 6, Iss 2, Pp 236-247 (2023)
The COVID-19 pandemic, caused by the coronavirus SARS-CoV-2, has generated a renewed interest in the larger family of Coronaviridae, which causes a variety of different respiratory infections in a variety of different hosts. Understanding the mechani
Externí odkaz:
https://doaj.org/article/77d7f5c1dc51458dbb7f1c3985e208eb
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
Publikováno v:
Biology, Vol 12, Iss 6, p 854 (2023)
Biological sequence analysis is an essential step toward building a deeper understanding of the underlying functions, structures, and behaviors of the sequences. It can help in identifying the characteristics of the associated organisms, such as viru
Externí odkaz:
https://doaj.org/article/472cb386504749fb8c670ce103c6e931
Publikováno v:
Biomolecules, Vol 13, Iss 6, p 934 (2023)
The emergence of third-generation single-molecule sequencing (TGS) technology has revolutionized the generation of long reads, which are essential for genome assembly and have been widely employed in sequencing the SARS-CoV-2 virus during the COVID-1
Externí odkaz:
https://doaj.org/article/7b29413c29bb4697a57fc154f70244d7
Publikováno v:
Journal of Computational Biology. 30:469-491
The massive amount of genomic data appearing for SARS-CoV-2 since the beginning of the COVID-19 pandemic has challenged traditional methods for studying its dynamics. As a result, new methods such as Pangolin, which can scale to the millions of sampl
Publikováno v:
Journal of Computational Biology. 30:432-445
With the rapid spread of COVID-19 worldwide, viral genomic data is available in the order of millions of sequences on public databases such as GISAID. This Big Data creates a unique opportunity for analysis towards the research of effective vaccine d
Autor:
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Yijing Zhou, Murray Patterson
Publikováno v:
Biology, Vol 11, Iss 3, p 418 (2022)
The study of host specificity has important connections to the question about the origin of SARS-CoV-2 in humans which led to the COVID-19 pandemic—an important open question. There are speculations that bats are a possible origin. Likewise, there
Externí odkaz:
https://doaj.org/article/de437ac3ff5b4b21a41d319ecc60fb3f
Publikováno v:
Algorithms, Vol 14, Iss 12, p 348 (2021)
The widespread availability of large amounts of genomic data on the SARS-CoV-2 virus, as a result of the COVID-19 pandemic, has created an opportunity for researchers to analyze the disease at a level of detail, unlike any virus before it. On the one
Externí odkaz:
https://doaj.org/article/8dbe01dce3f84168a1d8452725532457