BOL

www.ploscompbiol.org - Centralized Bioinformatics Core Facilities provide shared resources for the computational and IT requirements of the investigators in their department or institution. As such, they must be able to effectively react to new types of experimental...

Only 4.4 percent DNA difference between Tiger and house cats

There are many R software and bioconductor packages for NGS data analysis, some of them are as follows Biostrings The Biostrings package from Bioconductor provides an advanced environment for efficient sequence management and analysis in R. It...

ncbi.github.io - Magic-BLAST is a tool for mapping large next-generation RNA or DNA sequencing runs against a whole genome or transcriptome. Each alignment optimizes a composite score, taking into account simultaneously the two reads of a pair, and in case of...

www.homolog.us - Useful bioinformatics tutorial, such as De Bruijn Graphs for NGS AssemblyAlgorithms for PacBio ReadsSoftware and Hardware Concepts for BioinformaticsFinding us in Homolog.us (Search Algorithms)NGS Genome and RNAseq Assembly - a Hands on...

http://orione.crs4.it/ - End-to-end NGS microbiology data analysis requires a diversity of tools covering bacterial resequencing, de novo assembly, scaffolding, bacterial RNA-Seq, gene annotation and metagenomics. However, the construction of computational pipelines that...

peerj.com - The sequencing, assembly, and basic analysis of microbial genomes, once a painstaking and expensive undertaking, has become almost trivial for research labs with access to standard molecular biology and computational tools. However, there are a wide...

cloud.google.com - Explore genetic variation interactively. Compare entire cohorts in seconds with SQL-like queries. Compute transition/transversion ratios, genome-wide association, allelic frequency and more. Process big genomic data easily. Run batch analyses...

www.stackage.org - The Bio.SeqLoc modules in seqloc are designed to represent positions and locations (ranges of positions) on sequences, particularly nucleotide sequences. My original motivation for writing these packages was handing the locations of genes in...

Our research group is primarily focused on the analysis of whole genome sequence data to identify genetic variation (primarily structural variation) and examine their potential functional impact in disease phenotypes. We are particularly interested...