448 11 1806 3 8530 document 1806 PyScale.zip application/zip 81fd0477a4baa044709d5dacaf268c77 MD5 1009129 2019-11-05 17:07:51 https://researchdata.aston.ac.uk/id/eprint/448/1/PyScale.zip 448 1 1 application/zip archive en public cc_by_4

PyScale.zip

archive 100 disk0/00/00/04/48 2019-11-06 11:51:14 2025-04-16 08:35:38 2019-11-06 11:51:14 data_collection show Chattopadhyay Amit 0000-0001-5499-6008 Flower Darren Amit K Chattopadhyay BS public Protein sequencing Python Deep Learning 2019-11-05 Aston University 10.17036/researchdata.aston.ac.uk.00000448 Nuffield Foundation through Aston University Antimicrobial Drug Repurposing Using Clinical Data – Acquisition, Analysis & Modelling Software Nucleotide scales were collected by scrutinising the primary scientific literature. Data acquisition progressed in two stages. Initially, two re-views (Sandberg et al., 1996; Polyansky et al., 2013) were parsed, identifying a core set of scales. We also undertook quasi-exhaustive literature searches, using assorted search terms within PUBMED, Sco-pus, and ISI Web of Knowledge, together with retrospective and pro-spective searching using citation look-up. In all cases, we read original articles to identify data items. PyScale 1.0 contains 243 mononucleotide, 46 dinucleotide, and 17 trinucleotide scales. Data were processed using two codes, one terminal based (PyScaleTERM.py) and the other GUI based (PyScaleGUI.py), both based on python3. Chattopadhyay Amit Flower Darren Nuffield Foundation through Aston University Aston University English No human data were used. No ethical issues noted or known. 2019