BOL

journals.plos.org - Chromosome-level genome assembler combining multiple de novo assemblies https://github.com/jkimlab/IMAP

github.com - This pipeline performs the following steps: Assembly of nanopore reads using Canu. Polish canu contigs using racon (optional). Map a paired-end Illumina dataset onto the contigs obtained in the previous steps...

github.com - dnaPipeTE (for de-novo assembly & annotation Pipeline for Transposable Elements), is a pipeline designed to find, annotate and quantify Transposable Elements in small samples of NGS datasets. It is very useful to quantify the proportion of TEs...

github.com - ALPACA requires Celera Assembler 8.3 or later. It is recommended to build Celera Assembler from source. (Why? The pre-built binaries CA_8.3rc1 and CA8.3rc2 will work for any large data set.  Detail paper...

github.com - PERGA - Paired End Reads Guided Assembler PERGA is a novel sequence reads guided de novo assembly approach which adopts greedy-like prediction strategy for assembling reads to contigs and scaffolds. Instead of using single-end reads to construct...

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...

support.10xgenomics.com - Supernova generates phased, whole-genome de novo assemblies from a Chromium-prepared library. Please see Achieving Success with De Novo Assembly and System Requirements before creating your Chromium libraries for...

The genome assemblers generally take a file of short sequence reads and a file of quality-value as the input. Since the quality-value file for the high throughput short reads is usually highly memory-intensive, only a few assemblers, best suited for...

sourceforge.net - Contiguity preserving transposition and sequencing (CPT-seq) is an entirely in vitro means of generating libraries comprised of 9216 indexed pools, each of which contains thousands of sparsely sequenced long fragments ranging from 5 kilobases to...

github.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...