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13321_2016_141_MOESM4_ESM.txt Additional file 4. SQL script to store FDA Approved drug (Drug@FDA) to IDAAPM.
13321_2016_141_MOESM6_ESM.txt Additional file 6. SQL script to store FAERS adverse effect from CSV file to IDAAPM.
13321_2016_141_MOESM8_ESM.txt Additional file 8. SQL script to store data from CSV DrugBank file (ADMET, molecular descriptors) to IDAAPM.
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The dataset is stored into a relationship database on MySQL platform, version 5.0.44, whereas all the necessary scripts to store and query the database were written in Perl v5.8.8 (built for i686-linux) object-oriented scripting language.
The dataset is stored in a relational form using MySQL 4.1.14, whereas all the necessary scripts to store and query the database were written in Perl v5.8.8 (built for i686-linux) object-oriented scripting language, making use of two non-standard libraries, EnsEMBL Perl, [ 13] and BioPerl [ 14].
13321_2016_141_MOESM9_ESM.txt Additional file 9. SQL script to extract and store data (target and binding affinity) from BindingDB TSV file to IDAAPM.
The Partigene [ 27] PERL scripts were used to store all the information in a web-accessible relational database [ 17].
A MySQL (v4.1) database and PHP5 scripts were used to store, order and extract numeric and qualitative data All the protein families chosen in our CWG list were annotated by experts.
To address this issue, we developed a data pre-processing Python script to log the necessary information for monitoring and to store the logs in S3.
We used Perl scripts and Berkeley DB to store and process repeat annotation data in each species.
Additionally, scripting languages are often used to store policies.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com