F
Felicity Allen
Researcher at Wellcome Trust Sanger Institute
Publications - 29
Citations - 5172
Felicity Allen is an academic researcher from Wellcome Trust Sanger Institute. The author has contributed to research in topics: CRISPR & Cas9. The author has an hindex of 17, co-authored 29 publications receiving 4227 citations. Previous affiliations of Felicity Allen include University of Oxford & International Agency for Research on Cancer.
Papers
More filters
Journal ArticleDOI
HMDB 3.0—The Human Metabolome Database in 2013
David S. Wishart,Timothy Jewison,An Chi Guo,Michael Wilson,Craig Knox,Yifeng Liu,Yannick Djoumbou,Rupasri Mandal,Farid Aziat,Edison Dong,Souhaila Bouatra,Igor Sinelnikov,David Arndt,Jianguo Xia,Philip Liu,Faizath S. Yallou,Trent C. Bjorndahl,Rolando Perez-Pineiro,Roman Eisner,Felicity Allen,Vanessa Neveu,Russell Greiner,Augustin Scalbert +22 more
TL;DR: New database visualization tools and new data content have been added or enhanced to the HMDB, which includes better spectral viewing tools, more powerful chemical substructure searches, an improved chemical taxonomy and better, more interactive pathway maps.
Journal ArticleDOI
Predicting the mutations generated by repair of Cas9-induced double-strand breaks
Felicity Allen,Luca Crepaldi,Clara Alsinet,Alexander Strong,Vitalii Kleshchevnikov,Pietro De Angeli,Petra Páleníková,Anton Khodak,Vladimir Yu. Kiselev,Michael Kosicki,Andrew R. Bassett,Heather P. Harding,Yaron Galanty,Francisco Muñoz-Martínez,Emmanouil Metzakopian,Stephen P. Jackson,Leopold Parts,Leopold Parts +17 more
TL;DR: This work systematically study the influence of flanking DNA sequence on repair outcome by measuring the edits generated by >40,000 guide RNAs (gRNAs) in synthetic constructs and uncover sequence determinants of the mutations produced and use these to derive a predictor of Cas9 editing outcomes.
Journal ArticleDOI
CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra
TL;DR: A web server supporting three tasks associated with the interpretation of tandem mass spectra (MS/MS) for the purpose of automated metabolite identification and a simple interface for using these algorithms and a graphical display of the resulting annotations, spectra and structures.
Journal ArticleDOI
Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification
TL;DR: In this paper, a probabilistic generative model for the MS/MS fragmentation process is proposed, which is called competitive fragmentation modeling (CFM), and a machine learning approach for learning parameters for this model from ESI-MS data.
Journal ArticleDOI
Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models
TL;DR: A novel time-domain feature extraction method is proposed for the GMM system to allow better detection of short-duration movements and more adaptable to a specific person or device.