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Software . 2026
Data sources: ZENODO
ZENODO
Software . 2026
Data sources: Datacite
ZENODO
Software . 2026
Data sources: Datacite
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frank-neuro/frankneuro-bioinformatics: Initial Publication: Frank Neuro Bioinformatics Toolkit

Authors: Matthew Frank;

frank-neuro/frankneuro-bioinformatics: Initial Publication: Frank Neuro Bioinformatics Toolkit

Abstract

This software repository contains the computational utilities for Frank Neuro, a specialized advisory practice focused on de-risking Central Nervous System (CNS) drug discovery. As neuro-immune interactions (e.g., microglial priming, NLRP3 inflammasome signaling) become increasingly central to therapeutic targets, the requirement for high-fidelity PCR assay design and sequence standardization has become a critical bottleneck for translational R&D. Included Utilities Primer Designer (primer.py): A thermodynamic-first approach to DNA/RNA primer design. Utilizing Nearest-Neighbor (NN) models for Tm calculation, this tool is specifically optimized for high-sensitivity PCR assays where specificity is paramount to avoiding non-specific amplification in complex tissue environments. Fasta Converter (fasta.py): A program that automates the conversion of Genbank-formatted records into standardized, header-clean FASTA files that delineates exon/exon boundaries, thereby ensuring data integrity for downstream bioinformatics pipelines (e.g., BLAST, multiple sequence alignment). The converted sequence (exons in UPPERCASE, introns in lowercase) is then used as an input for Primer Designer. Methodology & Authority The logic within these tools is grounded in over two decades of neuro-immunology research, drawing on the developer's record of 100+ publications and 10,000+ citations in the field. These tools are maintained under the MIT License to support "Open Science" principles and ensure the reproducibility of strategic audits performed for industry partners. Keywords Bioinformatics; Neuro-immunology; CNS Drug Discovery; Neuroinflammation; Microglia; Primer Design; Open Science; Translational Medicine License & Funding License: MIT License Version: 1.0.0 Language: Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average