Jupyter server for Duke Biostatistics and Bioinformatics high-throughput sequencing and analysis workshop summer 2017
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Updated
Aug 2, 2017 - Jupyter Notebook
Jupyter server for Duke Biostatistics and Bioinformatics high-throughput sequencing and analysis workshop summer 2017
Distributed iterative finite element analysis with high throughput computing
A series of scripts used for transferring and validating files with gluster, and for submitting condor jobs
A toolset for handling sequencing data with unique molecular identifiers (UMIs)
This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.
This package creates segmentation of the genome into regions of biological significance from high-throughput sequencing data.
Identification of clusters of co-expressed genes based on their expression across multiple (replicated) biological samples.
Automated processing and haplotype inference for double-barcoded PCR amplicons
basepair bio: a single binary with many useful genomics subtools.
The AssayCorrector eliminates spatial bias in HTS assays using PMP methods.
uORF-Tools are a workflow and a collection of tools for the analysis of 'Upstream Open Reading Frames' (short uORFs)
Resolution-independent normalization of Hi-C data
NGS Processing Pipelines for WGS and WES data
HiPR: High-throughput Probabilistic inference of RNA structure
use the noise
A summary of the scripts used in performing quality filtering and data analysis of Illumina high throughout bacterial sequences involved in this freshwater aquatic invertebrate microbiota study.
Whisper 2: indel-sensitive short read mapping. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711021000376
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