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        <datestamp>2026-09-21T10:26:59Z</datestamp>
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          <dc:title>Thesis: Supplementary Datasets and Resources</dc:title>
          <dc:creator>Evans A. Adu (7524140)</dc:creator>
          <dc:subject>Sequence analysis</dc:subject>
          <dc:subject>Biological network analysis</dc:subject>
          <dc:subject>Genomics</dc:subject>
          <dc:subject>Medical parasitology</dc:subject>
          <dc:subject>Infectious diseases</dc:subject>
          <dc:subject>Comparative Genomics</dc:subject>
          <dc:subject>Functional Genomics</dc:subject>
          <dc:subject>Systems Biology</dc:subject>
          <dc:subject>Computational Biology</dc:subject>
          <dc:subject>Protein Structure and Function</dc:subject>
          <dc:subject>Network Biology</dc:subject>
          <dc:subject>Drug Target Discovery</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This repository contains the supplementary datasets generated during a doctoral research project investigating schistosome adhesion and lipid acquisition networks through comparative genomics, orthology analysis, domain architecture profiling, phylogenetics, and network-based target prioritisation. The collection includes curated protein catalogues, orthogroup assignments, phylogenetic classifications, conserved motif annotations, membrane topology predictions, functional module classifications, evidence-based confidence assessments, and prioritisation outputs for candidate proteins across &lt;i&gt;Schistosoma mansoni&lt;/i&gt;, &lt;i&gt;S. haematobium&lt;/i&gt;, and &lt;i&gt;S. japonicum&lt;/i&gt;.&lt;/p&gt;&lt;p dir="ltr"&gt;The final adhesome dataset has been integrated into an interactive &lt;a href="https://thesis-h5trcx3waczuh7mvz5l7af.streamlit.app/" target="_blank" rel="noreferrer"&gt;Streamlit-based atlas&lt;/a&gt; that provides standardised protein identifiers, species distributions, predicted orthology relationships, domain architectures, conserved motifs, membrane topology, functional modules, phylogenetic classifications, network positions, evidence levels, and prioritisation scores.&lt;/p&gt;&lt;p dir="ltr"&gt;All custom scripts used for data retrieval, processing, annotation, orthology inference, phylogenetic reconstruction, network analysis, prioritisation, and atlas generation are maintained under version control and are publicly available at &lt;a href="https://github.com/EvansKCCR/Thesis" target="_blank" rel="noopener noreferrer"&gt;GitHub Repository&lt;/a&gt;.&lt;/p&gt;&lt;p dir="ltr"&gt;Primary input datasets were obtained from &lt;a href="https://parasite.wormbase.org/" target="_blank" rel="noopener noreferrer"&gt;WormBase ParaSite&lt;/a&gt; and &lt;a href="https://www.ncbi.nlm.nih.gov/datasets/taxonomy/9606/" target="_blank" rel="noreferrer"&gt;NCBI-NLM-NIH&lt;/a&gt;. These resources provided the reference proteomes and genomic annotations used throughout the study.&lt;/p&gt;&lt;p dir="ltr"&gt;The datasets are provided to support transparency, reproducibility, and reuse of the computational workflows and research outputs described in the associated thesis.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-21T10:26:59Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.33951250.v1</dc:identifier>
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