R
Roland Arnold
Researcher at University of Birmingham
Publications - 74
Citations - 6757
Roland Arnold is an academic researcher from University of Birmingham. The author has contributed to research in topics: Cancer & SIMAP. The author has an hindex of 33, co-authored 69 publications receiving 5411 citations. Previous affiliations of Roland Arnold include University of Toronto & Technische Universität München.
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Journal ArticleDOI
COVID-19 mortality in patients with cancer on chemotherapy or other anticancer treatments: a prospective cohort study.
Lennard Y W Lee,Jean-Baptiste Cazier,Vasileios Angelis,Roland Arnold,Vartika Bisht,Naomi A. Campton,Julia Chackathayil,Vinton Cheng,Helen Curley,Matthew W. Fittall,Luke Freeman-Mills,Spyridon Gennatas,Anshita Goel,Simon Hartley,D.J. Hughes,David J. Kerr,Alvin J.X. Lee,Rebecca Lee,Sophie McGrath,Christopher P. Middleton,N. Murugaesu,Thomas Newsom-Davis,Alicia Okines,Anna Olsson-Brown,Claire Palles,Yi Pan,Ruth Pettengell,Thomas Powles,Emily A. Protheroe,Karin Purshouse,Archana Sharma-Oates,Shivan Sivakumar,Ashley J. Smith,Thomas Starkey,Chris D. Turnbull,Csilla Várnai,Nadia Yousaf,Rachel Kerr,Gary Middleton +38 more
TL;DR: The clinical and demographic characteristics and COVID-19 outcomes in patients with cancer appear to be principally driven by age, gender, and comorbidities.
Journal ArticleDOI
MIPS: analysis and annotation of proteins from whole genomes
Hans-Werner Mewes,Clara Amid,Roland Arnold,Dmitrij Frishman,Ulrich Güldener,Gertrud Mannhaupt,Martin Münsterkötter,Philipp Pagel,Normann Strack,Volker Stümpflen,Jens Warfsmann,Andreas Ruepp +11 more
TL;DR: The Munich Information Center for Protein Sequences (MIPS at the GSF), Neuherberg, Germany, provides resources related to genome information and develops databases covering computable information such as the basic evolutionary relations among all genes.
Journal ArticleDOI
Gepard: a rapid and sensitive tool for creating dotplots on genome scale.
TL;DR: UNLABELLED Gepard provides a user-friendly, interactive application for the quick creation of dotplots that utilizes suffix arrays to reduce the time complexity of dotplot calculation to Theta(m*log n).
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eggNOG v3.0: orthologous groups covering 1133 organisms at 41 different taxonomic ranges
Sean Powell,Damian Szklarczyk,Kalliopi Trachana,Alexander Roth,Michael Kuhn,Jean Muller,Roland Arnold,Thomas Rattei,Ivica Letunic,Tobias Doerks,Lars Juhl Jensen,Christian von Mering,Peer Bork +12 more
TL;DR: The third version of the eggNOG database contains non-supervised orthologous groups constructed from 1133 organisms, doubling the number of genes with orthology assignment compared to eggNog v2 and the newly designed web page is considerably faster with more functionality.
Journal ArticleDOI
COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study.
Lee Lyw.,Cazier J-B.,Thomas Starkey,Briggs Sew.,Roland Arnold,Vartika Bisht,Stephen Booth,Naomi A. Campton,Cheng Vwt.,Gary S. Collins,Helen Curley,P Earwaker,Matthew W. Fittall,Spyridon Gennatas,Anshita Goel,Simon Hartley,D.J. Hughes,David J. Kerr,Lee Ajx.,Rebecca Lee,Siow Ming Lee,H Mckenzie,Christopher P. Middleton,N. Murugaesu,Thomas Newsom-Davis,Anna Olsson-Brown,Claire Palles,Thomas Powles,Emily A. Protheroe,Karin Purshouse,Archana Sharma-Oates,Shivan Sivakumar,A J Smith,O Topping,Chris D. Turnbull,Csilla Várnai,Briggs Adm.,Gary Middleton,Rachel Kerr +38 more
TL;DR: This study compared adult patients with cancer enrolled in the UK Coronavirus Cancer Monitoring Project between March 18 and May 8, 2020 with a parallel non-COVID-19 UK cancer control population, and analyzed the effect of primary tumour subtype, age, and sex and on severe acute respiratory syndrome coronavirus 2 prevalence and the case–fatality rate during hospital admission.