BOL

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

Research Topics: High Throughput Sequencing Analysis Comparative Genomics Identification and Annotation of Non-coding RNAs Bioinformatic Analysis and System Biology of Viruses Coevolution of Proteins and RNAs Algorithmic...

GnuBIO-Developer of Droplet-Based DNA Sequencing Technology

Cryptococcus neoformans is a fungus responsible for a million cases of pneumonia and meningitis every year- are so malleable and dangerous

Smaller Exome datasets were found to be worse performer than those from larger datasets (WGS)

Pathway Analysis is usually performed with aim to enrich the genes with their functional information and reveal the underlying biological mechanisms pursue by genes. Pathway Analysis is not only limited to what biological pathways a particular set...

www.cs.helsinki.fi - LoRMA is a tool for correcting sequencing errors in long reads such those produced by Pacific Biosciences sequencing machines. Publication: L. Salmela, R. Walve, E. Rivals, and E. Ukkonen: Accurate selfcorrection of errors in long reads using de...

github.com - GRASS (GeneRic ASsembly Scaffolder)-a novel algorithm for scaffolding second-generation sequencing assemblies capable of using diverse information sources. GRASS offers a mixed-integer programming formulation of the contig scaffolding problem, which...

github.com - Jabba is a hybrid error correction tool to correct third generation (PacBio / ONT) sequencing data, using second generation (Illumina) data. Input Jabba takes as input a concatenated de Bruijn graph and a set of sequences: the de Bruijn graph...

github.com - Apollo is an assembly polishing algorithm that attempts to correct the errors in an assembly. It can take multiple set of reads in a single run and polish the assemblies of genomes of any size. Described by Firtina et al. (preliminary version...