Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Evan Biederstedt"'
Autor:
Felix Fischer, David S. Fischer, Roman Mukhin, Andrey Isaev, Evan Biederstedt, Alexandra-Chloé Villani, Fabian J. Theis
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Identifying cellular identities is a key use case in single-cell transcriptomics. While machine learning has been leveraged to automate cell annotation predictions for some time, there has been little progress in scaling neural networks to l
Externí odkaz:
https://doaj.org/article/238bbc0e49e9451a9362de533c6f954c
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-25 (2024)
Abstract Targeted spatial transcriptomics hold particular promise in analyzing complex tissues. Most such methods, however, measure only a limited panel of transcripts, which need to be selected in advance to inform on the cell types or processes bei
Externí odkaz:
https://doaj.org/article/5400b0ad82bd43918520150a06bfd4c4
Autor:
Ann M. Mc Cartney, Medhat Mahmoud, Michael Jochum, Daniel Paiva Agustinho, Barry Zorman, Ahmad Al Khleifat, Fawaz Dabbaghie, Rupesh K Kesharwani, Moritz Smolka, Moez Dawood, Dreycey Albin, Elbay Aliyev, Hakeem Almabrazi, Ahmed Arslan, Advait Balaji, Sairam Behera, Kimberley Billingsley, Daniel L Cameron, Joyjit Daw, Eric T. Dawson, Wouter De Coster, Haowei Du, Christopher Dunn, Rocio Esteban, Angad Jolly, Divya Kalra, Chunxiao Liao, Yunxi Liu, Tsung-Yu Lu, James M Havrilla, Michael M Khayat, Maximillian Marin, Jean Monlong, Stephen Price, Alejandro Rafael Gener, Jingwen Ren, Sagayamary Sagayaradj, Nicolae Sapoval, Claude Sinner, Daniela C. Soto, Arda Soylev, Arun Subramaniyan, Najeeb Syed, Neha Tadimeti, Pamella Tater, Pankaj Vats, Justin Vaughn, Kimberly Walker, Gaojianyong Wang, Qiandong Zeng, Shangzhe Zhang, Tingting Zhao, Bryce Kille, Evan Biederstedt, Mark Chaisson, Adam English, Zev Kronenberg, Todd J. Treangen, Timothy Hefferon, Chen-Shan Chin, Ben Busby, Fritz J Sedlazeck
Publikováno v:
F1000Research, Vol 10 (2021)
In October 2020, 62 scientists from nine nations worked together remotely in the Second Baylor College of Medicine & DNAnexus hackathon, focusing on different related topics on Structural Variation, Pan-genomes, and SARS-CoV-2 related research. The o
Externí odkaz:
https://doaj.org/article/52994138986c4640b0eb0fcc835acd81
Autor:
Bastien Llamas, Giuseppe Narzisi, Valerie Schneider, Peter A. Audano, Evan Biederstedt, Lon Blauvelt, Peter Bradbury, Xian Chang, Chen-Shan Chin, Arkarachai Fungtammasan, Wayne E. Clarke, Alan Cleary, Jana Ebler, Jordan Eizenga, Jonas A. Sibbesen, Charles J. Markello, Erik Garrison, Shilpa Garg, Glenn Hickey, Gerard R. Lazo, Michael F. Lin, Medhat Mahmoud, Tobias Marschall, Ilia Minkin, Jean Monlong, Rajeeva L. Musunuri, Sagayamary Sagayaradj, Adam M. Novak, Mikko Rautiainen, Allison Regier, Fritz J. Sedlazeck, Jouni Siren, Yassine Souilmi, Justin Wagner, Travis Wrightsman, Toshiyuki T. Yokoyama, Qiandong Zeng, Justin M. Zook, Benedict Paten, Ben Busby
Publikováno v:
F1000Research, Vol 8 (2021)
In March 2019, 45 scientists and software engineers from around the world converged at the University of California, Santa Cruz for the first pangenomics codeathon. The purpose of the meeting was to propose technical specifications and standards for
Externí odkaz:
https://doaj.org/article/b7e3e00f11464dcdb366d9ddb5fb3d3a
Autor:
Evan Biederstedt, Jeffrey C. Oliver, Nancy F. Hansen, Aarti Jajoo, Nathan Dunn, Andrew Olson, Ben Busby, Alexander T. Dilthey
Publikováno v:
F1000Research, Vol 7 (2018)
Genome graphs are emerging as an important novel approach to the analysis of high-throughput human sequencing data. By explicitly representing genetic variants and alternative haplotypes in a mappable data structure, they can enable the improved anal
Externí odkaz:
https://doaj.org/article/110ea799ddee4c799db9f6f7fcb20ed0
Autor:
Joan Martí-Carreras, Alejandro Rafael Gener, Sierra D. Miller, Anderson F. Brito, Christiam E. Camacho, Ryan Connor, Ward Deboutte, Cody Glickman, David M. Kristensen, Wynn K. Meyer, Sejal Modha, Alexis L. Norris, Surya Saha, Anna K. Belford, Evan Biederstedt, James Rodney Brister, Jan P. Buchmann, Nicholas P. Cooley, Robert A. Edwards, Kiran Javkar, Michael Muchow, Harihara Subrahmaniam Muralidharan, Charles Pepe-Ranney, Nidhi Shah, Migun Shakya, Michael J. Tisza, Benjamin J. Tully, Bert Vanmechelen, Valerie C. Virta, JL Weissman, Vadim Zalunin, Alexandre Efremov, Ben Busby
Publikováno v:
Viruses, Vol 12, Iss 12, p 1424 (2020)
Viruses represent important test cases for data federation due to their genome size and the rapid increase in sequence data in publicly available databases. However, some consequences of previously decentralized (unfederated) data are lack of consens
Externí odkaz:
https://doaj.org/article/45441b170084430eaf943eb545346079
Publikováno v:
bioRxiv
Targeted spatial transcriptomics hold particular promise in analysis of complex tissues. Most such methods, however, measure only a limited panel of transcripts, which need to be selected in advance to inform on the cell types or processes being stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0b8b2b3f08b3a1f9c300b7a79d5d7de
https://europepmc.org/articles/PMC10054990/
https://europepmc.org/articles/PMC10054990/
Autor:
Jonathan Mitchel, M. Grace Gordon, Richard K. Perez, Evan Biederstedt, Raymund Bueno, Chun Jimmie Ye, Peter V. Kharchenko
SummaryTissue- and organism-level biological processes often involve coordinated action of multiple distinct cell types. Current computational methods for the analysis of single-cell RNA-sequencing (scRNA-seq) data, however, are not designed to captu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86e37cb31ec203629949c17264dbca4b
https://doi.org/10.1101/2022.02.16.480703
https://doi.org/10.1101/2022.02.16.480703
Autor:
Teng Gao, Ruslan Soldatov, Hirak Sarkar, Adam Kurkiewicz, Evan Biederstedt, Po-Ru Loh, Peter Kharchenko
Genome instability and aberrant alterations of transcriptional programs both play important roles in cancer. However, their relationship and relative contribution to tumor evolution and therapy resistance are not well-understood. Single-cell RNA sequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7187407c7a0b48ef2e5ccd2508968b6
https://doi.org/10.1101/2022.02.07.479314
https://doi.org/10.1101/2022.02.07.479314
Autor:
Allison Richards, Neil Vasan, Yanyan Cai, Alexander V Penson, Philip Jonsson, Maurizio Scaltriti, Yu-Jui Ho, Nikolaus Schultz, Scott W. Lowe, Craig M. Bielski, Ed Reznik, Evan Biederstedt, Francisco J. Sánchez-Rivera, Chaitanya Bandlamudi, Noah D. Friedman, Alexander N. Gorelick, Timour Baslan, Barry S. Taylor
Publikováno v:
Nature
Cancers develop as a result of driver mutations1,2 that lead to clonal outgrowth and the evolution of disease3,4. The discovery and functional characterization of individual driver mutations are central aims of cancer research, and have elucidated my