japsa.readthedocs.io - npScarf (jsa.np.npscarf) is a program that connect contigs from a draft genomes to generate sequences that are closer to finish. These pipelines can run on a single laptop for microbial datasets. In real-time mode, it can be integrated with simple...
github.com - Rebaler is a program for conducting reference-based assemblies using long reads. It relies mainly on minimap2 for alignment and Racon for making consensus sequences.
I made Rebaler for bacterial genomes (specifically for the...
github.com - Deepbinner is a tool for demultiplexing barcoded Oxford Nanopore sequencing reads. It does this with a deep convolutional neural network classifier, using many of the architectural advances that have proven successful...
github.com - Rcorrector has an accuracy higher than or comparable to existing methods, including the only other method (SEECER) designed for RNA-seq reads, and is more time and memory efficient. With a 5 GB memory footprint for 100 million reads, it can be run...
github.com - SHAMAN is a shiny application for differential analysis of metagenomic data (16S, 18S, 23S, 28S, ITS and WGS) including bioinformatics treatment of raw reads for targeted metagenomics, statistical analysis and results visualization with a large...
github.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...
hal.archives-ouvertes.fr - Pros and cons of HairSplitter Limitations of HairSplitter:
Not very fast: it re-polishes the whole assembly
Limited in the number of haplotypes
Strengths of HairSplitter:
Very modular, can be used with any assembler
Naive: makes no...
apps.bioconnector.virginia.edu - Coverage / Read Count Calculator
Calculate how much sequencing you need to hit a target depth of coverage (or vice versa).
Instructions: set the read length/configuration and genome size, then select what you want to calculate.
Written by Stephen...
github.com - HECIL—Hybrid Error Correction with Iterative Learning—a hybrid error correction framework that determines a correction policy for erroneous long reads, based on optimal combinations of decision weights obtained from short read...