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CRT Genomic Data Science
- University College Cork
- @JackATierney
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Omnipy is a high level Python library for type-driven data wrangling and scalable workflow orchestration (under development)
Auto-CORPus pipeline developed by a University of Nottingham and Imperial College London collaboration to standardize text and table data extracted from full text publications. See Open Access publ…
Download sequencing data and metadata from GSA, SRA, ENA, and DDBJ databases.
Pipeline for the analysis of ribosome profiling, or Ribo-seq (also named ribosome footprinting) data.
This package provides a function to reformat lists of genome coverage files, such as bigWig of bam files, into the directory structure of a UCSC Track Hub ready to be visualized in the genome brows…
Microbiome Informatics NF modules and sufworkflows
A DSL for data-driven computational pipelines
GenMap - Fast and Exact Computation of Genome Mappability
A curated list of awesome ETL frameworks, libraries, and software.
A chr/pos/feature GTF sorter that uses a lexicographically-based index ordering algorithm.
Python implementation and field-tool for automated pipeline launching through Tower CLI (beta)
Command line scientific data management tool
Nextflow runs monitoring and organisation UI
A *fast* tool for BAM/CRAM quality evaluation, intended for long reads
How research parasites can download your data!
Prediction of binding residues for metal ions, nucleic acids, and small molecules.
Accurate and rapid RiboRNA sequences Detector based on deep learning
Analyse high-dimensional data in a longitudinal fashion and find similarly regulated sets of genes
Builds a docker container wrapping higlass-server and higlass-client in nginx
Ribo-seq metadata standardization for RiboCrypt and Riboseq.org
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Read specialized NGS formats as data frames in R, Python, and more.
This repository provides code related to our manuscript describing the use of NLP to infer missing metadata in the SRA
Web application to collect and visualise data across multiple MultiQC runs.
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