Metadata
| Creators: | Chattopadhyay, Amit  ORCID: https://orcid.org/0000-0001-5499-6008 and Flower, Darren |
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| Keywords: | Protein sequencing, Python, Deep Learning | ||||
| Divisions: | College of Engineering and Physical Sciences > Systems Analytics Research Institute (SARI) | ||||
| Funders: | Nuffield Foundation through Aston University | ||||
| Projects: | Antimicrobial Drug Repurposing Using Clinical Data – Acquisition, Analysis & Modelling | ||||
| Data Publisher: | Aston University | ||||
| Date Made Available: | 5 November 2019 | ||||
| Collection period: |
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| Data Collection and Processing Methods: | 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. | ||||
| Identification Number: | https://doi.org/10.17036/researchdata.aston.ac.uk.00000448 |
Chattopadhyay, Amit and Flower, Darren (2019) PyScale: A software package for analysis of nucleotide sequences. [Software] Aston University. Available from: https://doi.org/10.17036/researchdata.aston.ac.uk.00000448
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