Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jon Sorenson"'
Publikováno v:
Journal of chemical information and modeling, vol 62, iss 5
Structure-based, virtual High-Throughput Screening (vHTS) methods for predicting ligand activity in drug discovery are important when there are no or relatively few known compounds that interact with a therapeutic target of interest. State-of-the-art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baaca5c81685cf7b70b816258cfbf346
https://pubmed.ncbi.nlm.nih.gov/35235748
https://pubmed.ncbi.nlm.nih.gov/35235748
Structure-based, virtual High Throughput Screening (vHTS) methods for predicting ligand activity in drug discovery are important when there are no or relatively few known compounds that interact with a therapeutic target of interest. State-of-the-art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d393e429311af04f92fbc72de04f1f4
https://doi.org/10.26434/chemrxiv-2021-t6xkj
https://doi.org/10.26434/chemrxiv-2021-t6xkj
Autor:
Jon Sorenson, Vijay Kumar, Yifeng Yin, John D. Carpten, Shamoni Maheshwari, Enrique I. Velazquez-Villarreal, Mira Grigorova, Ian T. Fiddes, Claudia Catalanotti, Michelle Webb, David Craig, Paul A.W. Edwards
Publikováno v:
Communications Biology
Communications Biology, Vol 3, Iss 1, Pp 1-8 (2020)
Communications Biology, Vol 3, Iss 1, Pp 1-8 (2020)
We performed shallow single-cell sequencing of genomic DNA across 1475 cells from a cell-line, COLO829, to resolve overall complexity and clonality. This melanoma tumor-line has been previously characterized by multiple technologies and is a benchmar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::219e237cf3f86c03faec80d9ec3ff1e4
https://www.repository.cam.ac.uk/handle/1810/317793
https://www.repository.cam.ac.uk/handle/1810/317793
Autor:
Sauzade M, Joe Shuga, Hanlee P. Ji, George A. Poultsides, Hepler L, Yang W, Michael Schnall-Levin, Yifeng Yin, Kumar, Tobias Daniel Wheeler, Susan M. Grimes, Bill Kengli Lin, Sullivan-Bibee K, Claudia Catalanotti, Stafford D, Billy T. Lau, Susanna Jett, Makarewicz Aj, Song M, Rajiv Bharadwaj, Džakula Ž, Zachary Bent, Sawhney Ss, Anuja Sathe, Andrew D. Price, Jon Sorenson, Jia-Yun Chen, Noemi Andor, Carlos Suárez, Matthew Kubit, Shamoni Maheshwari, Weinstein A, DeMare L, Rahimi M, Kamila Belhocine
Sequencing the genomes of individual cancer cells provides the highest resolution of intratumoral heterogeneity. To enable high throughput single cell DNA-Seq across thousands of individual cells per sample, we developed a droplet-based, automated pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12cc1b57d7322984b5bcef5f31ec0431
Autor:
Rajiv Bharadwaj, Bill Kengli Lin, Mohammad Rahimi, Zeljko Dzakula, Yifeng Yin, Tobias Daniel Wheeler, Kamila Belhocine, Sanjam Sawhney, Jon Sorenson, Andrew Price, Tony Makarewicz, Susana Jett, Katie Sullivan-Bibee, Claudia Catalanotti, Maengseok Song, Alaina Puleo, Michael Schnall-Levin, Viajy Kumar, Joe Shuga
Publikováno v:
Cancer Research. 78:3395-3395
The ability to sequence entire genomes at the level of single cells (SCs) is an essential tool for mapping heterogeneity in cancer. Knowledge of this variability provides insight into cancer dynamics and the efficacy of therapeutics. Copy number vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::097b51b5fb6df270b2e74423e9baa946
https://doi.org/10.1158/1538-7445.am2018-3395
https://doi.org/10.1158/1538-7445.am2018-3395