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Chromatin accessibility measured by ATAC-seq reveals the regulatory landscape of the genome, identifying active enhancers, promoters, and transcription factor binding sites. We present ChromatinAccessibilityEngine, a pure-Python pipeline for ATAC-seq analysis.
Somatic copy number alterations (SCNAs) are ubiquitous in cancer, driving oncogene amplification and tumor suppressor deletion. We present CopyNumberEngine, a pure-Python pipeline for copy number analysis from whole-genome sequencing.
Protein ubiquitination is a versatile post-translational modification regulating protein degradation, DNA repair, signal transduction, and cell cycle progression. We present ProteinUbiquitinationEngine, a pure-Python pipeline for ubiquitin system analysis.
Neurogenomics integrates genomic, transcriptomic, and epigenomic data to understand brain function and neurological disease. We present NeurogenomicsEngine, a pure-Python pipeline for brain transcriptomics analysis.
Metabolic flux analysis quantifies the flow of metabolites through biochemical reaction networks, enabling prediction of cellular metabolic phenotypes. We present MetabolicFluxEngine, a pure-Python pipeline for constraint-based metabolic modeling.
Tumors evolve through clonal expansion and diversification, generating intratumor heterogeneity that drives treatment resistance. We present ClonalEvolutionEngine, a pure-Python pipeline for tumor clonal evolution analysis from multi-region sequencing.
RNA secondary structure is critical for function, regulating translation, splicing, stability, and protein binding. We present RNAStructureEngine, a pure-Python pipeline for RNA secondary structure prediction and analysis.
MicroRNAs (miRNAs) are ~22 nt small non-coding RNAs that post-transcriptionally regulate gene expression by binding to 3'UTR seed sequences. We present MicroRNAEngine, a pure-Python pipeline for miRNA target prediction and regulatory network analysis.
Ribosome profiling (Ribo-seq) enables genome-wide measurement of translation by sequencing ribosome-protected mRNA fragments. We present RibosomeProfilingEngine, a pure-Python pipeline for Ribo-seq analysis.
Long non-coding RNAs (lncRNAs) regulate gene expression through diverse mechanisms including chromatin remodeling, transcriptional regulation, and post-transcriptional control. We present LncRNAEngine, a pure-Python pipeline for lncRNA regulatory analysis.
Circular RNAs (circRNAs) are covalently closed RNA molecules generated by back-splicing that function as miRNA sponges, protein scaffolds, and translation templates. We present CircularRNAEngine, a pure-Python pipeline for circRNA analysis.
Genome-wide CRISPR knockout screens enable systematic identification of genes essential for cellular fitness or drug response. We present CRISPRScreenEngine, a pure-Python pipeline for CRISPR screen analysis.
Enhancers are distal regulatory elements that activate gene transcription through chromatin looping, but assigning enhancers to their target genes remains challenging. We present EnhancerPromoterEngine, a pure-Python implementation of the Activity-by-Contact (ABC) model.
Histone modifications are key epigenetic regulators of gene expression, with distinct marks defining active promoters, enhancers, repressed regions, and heterochromatin. We present HistoneModificationEngine, a pure-Python pipeline for ChIP-seq histone mark analysis.
DNA methylation at CpG dinucleotides is a fundamental epigenetic mark regulating gene expression, imprinting, and X-chromosome inactivation. We present CpGMethylationEngine, a pure-Python pipeline for WGBS analysis.
Ferroptosis is an iron-dependent form of regulated cell death driven by lipid peroxidation, distinct from apoptosis and necroptosis. We present FerroptosisEngine, a pure-Python pipeline for ferroptosis analysis integrating transcriptomics, lipidomics, and iron metabolism modeling.
The human microbiome plays critical roles in health and disease, with dysbiosis associated with inflammatory bowel disease, obesity, and cancer. We present MicrobiomeEngine, a pure-Python pipeline for 16S rRNA amplicon and metagenomic analysis.
Three-dimensional genome organization plays a fundamental role in gene regulation through topologically associating domains (TADs), chromatin loops, and A/B compartments. We present ChromatinConformationEngine, a pure-Python pipeline for Hi-C data analysis.
Liquid biopsy through circulating tumor DNA (ctDNA) analysis enables non-invasive cancer detection and monitoring. We present LiquidBiopsyEngine, a pure-Python pipeline for comprehensive cfDNA analysis.
N6-methyladenosine (m6A) is the most abundant internal mRNA modification, regulating splicing, translation, and decay. We present EpitranscriptomicsEngine, a pure-Python pipeline for m6A analysis from MeRIP-seq data.