github.com - mosdepth can output:
per-base depth about 2x as fast samtools depth--about 25 minutes of CPU time for a 30X genome.mean per-window depth given a window size--as would be used for CNV calling.the mean per-region given a BED file of regions.a...
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...
faculty.cse.tamu.edu - With increased availability of de novo assembly algorithms, it is feasible to study entire transcriptomes of non-model organisms. While algorithms are available that are specifically designed for performing transcriptome assembly from...
lbbe.univ-lyon1.fr - The software package SiLiX implements an ultra-efficient algorithm for the clustering of homologous sequences, based on single transitive links (single linkage) with alignment coverage constraints.
SiLiX adopts a graph-theoretical framework to...
github.com - AlfaPang constructs variation graphs, leveraging its alignment-free and reference-free approach, based solely on intrinsic sequence properties. This design allows AlfaPang's runtime and memory usage to scale linearly with the size of input...
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...
github.com - HiTE is a Python software that uses a dynamic boundary adjustment approach to detect and annotate full-length Transposable Elements in Genome Assemblies. In comparison to other tools, HiTE demonstrates superior performance in detecting a...
ibest.github.io - ARC is a pipeline which facilitates iterative, reference guided de novo assemblies with the intent of:
Reducing time in analysis and increasing accuracy of results by only considering those reads which should assemble...
github.com - SKESA is a DeBruijn graph-based de-novo assembler designed for assembling reads of microbial genomes sequenced using Illumina. Comparison with SPAdes and MegaHit shows that SKESA produces assemblies that have high sequence quality and contiguity,...