C
Christopher J. Mungall
Researcher at Lawrence Berkeley National Laboratory
Publications - 279
Citations - 48324
Christopher J. Mungall is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Ontology (information science) & Open Biomedical Ontologies. The author has an hindex of 76, co-authored 242 publications receiving 40589 citations. Previous affiliations of Christopher J. Mungall include Howard Hughes Medical Institute & J. Craig Venter Institute.
Papers
More filters
Journal ArticleDOI
Perspectives for self-driving labs in synthetic biology.
Hector Garcia Martin,Tijana Radivojevic,Jeremy Zucker,Kristofer E. Bouchard,Jess Sustarich,Sean Peisert,Daniel Arnold,Nathan J. Hillson,Gyorgy Babnigg,Jose Manuel Martí,Christopher J. Mungall,Gregg T. Beckham,Lucas M. Waldburger,James M. Carothers,Shivshankar Sundaram,Deb Agarwal,Blake A. Simmons,Tyler W. H. Backman,Deepanwita Banerjee,Deepti Tanjore,Lavanya Ramakrishnan,Anup Singh +21 more
TL;DR: In this paper , the authors discuss challenges and opportunities in creating self-driving labs for synthetic biology and argue that the level of investment required for the creation of biological SDLs is only warranted if directed toward solving difficult and enabling biological questions.
Journal ArticleDOI
KG-Hub—building and exchanging biological knowledge graphs
J. Harry Caufield,Timothy E. Putman,Kevin Schaper,Deepak Unni,H. Hegde,Tiffany J. Callahan,Luca Cappelletti,Sierra AT Moxon,Vida Ravanmehr,Seth Carbon,L. Chan,Katherina G. Cortes,Kent Shefchek,Glass Elsarboukh,James P. Balhoff,Tommaso Fontana,Nicolas Matentzoglu,Richard Bruskiewich,Anne E. Thessen,Nomi L. Harris,Monica Munoz-Torres,Melissa A. Haendel,Peter N. Robinson,Marcin P. Joachimiak,Christopher J. Mungall,Justin T. Reese +25 more
TL;DR: KG-Hub as mentioned in this paper is a platform that enables standardized construction, exchange, and reuse of knowledge graphs (KGs) for bio-data analysis and reuse, and is equipped with tooling to easily analyze and manipulate KGs.
Enhancing the Human Phenotype Ontology for Use by the Layperson
Journal ArticleDOI
Challenges in Bioinformatics Workflows for Processing Microbiome Omics Data at Scale
Bin Hu,Shane Canon,Emiley A. Eloe-Fadrosh,Fnu Anubhav,Michal Babinski,Yuri E. Corilo,Karen W. Davenport,William D. Duncan,Kjiersten Fagnan,Mark C. Flynn,Brian L. Foster,David Hays,Marcel Huntemann,Elais Player Jackson,Julia M. Kelliher,Po-E Li,Chien-Chi Lo,Douglas Mans,Lee Ann McCue,Nigel J. Mouncey,Christopher J. Mungall,Paul D. Piehowski,Samuel O. Purvine,Montana Smith,Neha Varghese,Donald Winston,Yan Xu,Patrick S. G. Chain +27 more
TL;DR: Some of the challenges that exist in analyzing omics data within the microbiome research sphere are reviewed, and context on how the National Microbiome Data Collaborative has adopted a standardized and open access approach is provided.
Posted ContentDOI
The BRAIN Initiative Cell Census Network Data Ecosystem: A User’s Guide
Michael Hawrylycz,Maryann E. Martone,Patrick R. Hof,Ed S. Lein,Aviv Regev,Giorgio A. Ascoli,Jan G. Bjaalie,Hong-Wei Dong,Sulagna Ghosh,Jesse Gillis,Ronna Hertzano,David R. Haynor,Yongsoo Kim,Yufeng Liu,Jeremy A. Miller,Partha P. Mitra,Eran A. Mukamel,David Osumi-Sutherland,Hanchuan Peng,Patrick Ray,Raymond Sanchez,Alexander J. Ropelewski,Richard H. Scheuermann,Shawn Z K Tan,Timothy L. Tickle,Hagen Tilgner,Merina Varghese,Brock A. Wester,Owen White,Brian D. Aevermann,David Allemang,Seth A. Ament,Thomas L. Athey,Pamela M. Baker,Cody Baker,Katherine Baker,Anita Bandrowski,Prajal Bishwakarma,Ambrose James Carr,Min Chen,Roni Choudhury,Jonah Cool,Heather Huot Creasy,Florence D. D'Orazi,Kylee Degatano,Benjamin Dichter,Songlin Ding,Tim A. Dolbeare,Joseph R. Ecker,Rongxin Fang,Jean-Christophe Fillion-Robin,Tim P. Fliss,James Gee,Thomas R. Gillespie,Nathan W. Gouwens,Yaroslav O. Halchenko,Nomi L. Harris,Brian R. Herb,Houri Hintiryan,Greg Hood,Sam Horvath,Dorota Jarecka,Shengdian Jiang,Farzaneh Khajouei,Elizabeth A Kiernan,Huseyin Kir,Lauren Kruse,Changkyu Lee,Boudewijn P. F. Lelieveldt,Yang Eric Li,Huan Liu,Anup Markuhar,James Mathews,Kaylee L. Mathews,Michael I Miller,Tyler Mollenkopf,Shoaib Mufti,Christopher J. Mungall,Lydia Ng,Joshua Orvis,Maja Puchades,Lei Qu,Joseph P. Receveur,Bing Ren,Nathan Sjoquist,Brian Staats,Carol L. Thompson,Daniel J. Tward,Cindy T. J. van Velthoven,Quanxin Wang,Fangming Xie,Zizhen Yao,Zhixi Yun,Hongkui Zeng,Guo-Qiang Zhang,Yu Zhang,Jim W. Zheng,Brian Zingg +97 more
TL;DR: The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data generating centers, data archives and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization as mentioned in this paper .