PyScale: A software package for analysis of nucleotide sequences

Metadata

Creators: Chattopadhyay, Amit ORCID: https://orcid.org/0000-0001-5499-6008 and Flower, Darren
Keywords: Protein sequencing, Python, Deep Learning
Divisions: Engineering and Applied Science > 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:
FromTo
2019UNSPECIFIED
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

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