Next Generation Sequencing (NGS)
https://en.wikipedia.org/wiki/Sequencing
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LoRMA: A tool for correcting sequencing errors in long reads
By Abhimanyu Singh 2302 days agogite.lirmm.fr - An error correction method that uses long reads only. The method consists of two phases: first, we use an iterative alignment-free correction method based on de Bruijn graphs with increasing length of k-mers, and second, the corrected reads are...nQuire: a statistical framework for ploidy estimation using next generation sequencing
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By Jit 2164 days agogithub.com - Run a pipeline processing fast5s to a consensus in a single command. Recommended fixed "standard" and "fast" pipelines. Interchange basecaller, assembler, and consensus components of the pipelines simply by changing the target filepath. Seemless...Prof. Dr. med. Andreas Ramming
In many autoimmune diseases, a misdirected immune response leads to chronic inflammation and subsequently to fibrotic and degenerative tissue remodeling. Therapeutic options are available for inflammatory joint diseases, but only about 40% of...DeepVariant : an analysis pipeline that uses a deep neural network to call genetic variants from...
By Jit 1796 days agogithub.com - DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data. DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation...iSeqQC: a tool for expression-based quality control in RNA sequencing
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By Rahul Nayak 1460 days agogithub.com - FastProNGS to integrate the quality control process with automatic adapter removal. Parallel processing was implemented to speed up the process by allocating multiple threads. Compared with similar up-to-date preprocessing tools, FastProNGS is by...
Libraries or management tools for high throughput sequencing data
Last updated 82 days ago by LEGEGATB Library. The Genome Analysis Toolbox with de-Bruijn graph. A large part of tools developed by the GenScale team are based on this library.These methods enable the analysis of data sets of any size on multi-core desktop...Surrogate Variable Analysis (SVA)
By Jit 3709 days agoThe sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment.
