BOL

https://github.com/envgen - Useful Metagenomics resources

https://js.cgview.ca/ - CGView.js is a Circular Genome Viewing tool for visualizing and interacting with small genomes. This software is an adaptation of the Java program CGView. CGView.js is the genome viewer of Proksee, an expert system for genome...

github.com - Porechop is a tool for finding and removing adapters from Oxford Nanopore reads. Adapters on the ends of reads are trimmed off, and when a read has an adapter in its middle, it is treated as chimeric and chopped into separate reads. Porechop...

github.com - npScarf (jsa.np.npscarf) is a program that scaffolds and completes draft genomes assemblies in real-time with Oxford Nanopore sequencing. The pipeline can run on a computing cluster as well as on a laptop computer for microbial datasets. It...

github.com - Genome scaffolding is a classical challenging problem in bioinformatics. It refers to joining assembly contigs into chains (called scaffolds). The join between two contigs A and B is considered correct if: Their relative orientation is...

Linear, Chimeric, Supplementary, Primary and Secondary Alignments

bioinfo-csi.nus.edu.sg - From list of genes... ... to microRNAs Using established miRNA-interaction databases, miREM combines hypergeometric and expectation-maximization algorithms to sieve through your genetic data for microRNA...

biochem218.stanford.edu - Excellent article to introduce different sequencing methods along with tools for de novo assembly of sequencing reads and their relevant references. Title: Comparison of Short Read De Novo Alignment Algorithms  Author: Nikhil Gopal

github.com - This code is designed to enable anyone to reproduce the Hs2-HiC and the AaegL4 genomes reported in: Dudchenko et al., De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds. Science, 2017. Unless otherwise...

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...