TransfoRNA: Navigating the Uncertainties of Small RNA Annotation with an Adaptive Machine Learning Strategy
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Updated
Jul 29, 2024 - Python
TransfoRNA: Navigating the Uncertainties of Small RNA Annotation with an Adaptive Machine Learning Strategy
Pipeline to carry out tasks common in the Hunt Lab on small RNA data
Analysis workflow for smallRNA sequenced data
This is my final year project, where I used bioinfomatics tools to characterize RNA silencing for plant viruses in monocots.
Simple scripts to parallelize miRNA analysis with sRNAtoolbox performed for my Master thesis.
Automated Differential Expression Pipeline for RNA-Seq Counts using DESeq2 or edgeR
Computational framework for discovery and classification of phased small RNA loci in plants.
MD thesis' project, where I performed an In silico target prediction for small ncRNAs in Mycobacterium tuberculosis
Run miRDeep-P2 multiple times in loop to to extract out large pool set of novel miRNAs from same input data and parameters
TeeSnee is an algorithm designed to take high-dimensional gene expression data and represent it in low-dimensional space.
small RNA library processing and analysis
sTarML: A Sequence-Based Machine Learning Framework for Predicting Bacterial sRNA–mRNA Interactions
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