{'fraction_non_alphanumeric': 0.0212624584717608, 'fraction_numerical': 0.0, 'mean_word_length': 5.693333333333333, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Pathgen : A Web Resource for Gene Network Generation

Numerous online sources of gene interaction networks supply rich visual data regarding gene pathways. These pathways are useful in understanding inter-gene regulation and interaction and are integral to the study of biological processes, disease research and drug discovery. Most annotated pathways involve a network of relations between genes, manually constructed from single gene-to-gene interactions as discovered experimentally. Collectively, these individual gene-to-gene interactions are a valuable resource, but there are limited solutions for understanding interactions between multiple pathways. PathGen is a web-based analysis tool that allows researchers to discover novel gene interactions across multiple networks, and to determine the impact of a set of candidate genes on a set of target genes. Because PathGen is an Internet resource, it can be accessed universally, and can be transparently updated without impacting users. PathGen uses data from several sources, including KEGG, DIP, MINT, and interactions inferred from PubMed abstracts, which allows researchers to collectively view gene relationships from multiple sources. Results are displayed in a comprehensible graphical format, showing gene interaction type and strength, database source, and microarray expression data. These features make PathGen a valuable tool for in silico discovery of novel gene interaction pathways, which can be experimentally tested and verified.