BOL

Complete, accurate replication of the genome is essential for life. All chromosomes in eukaryotic cells must be duplicated and then segregated to daughter cells to ensure genetic integrity and produce the large number of cells that make up a...

www.healthcare.uiowa.edu - Long read alignment analysis. Generate a reports on sequence alignments for mappability vs read sizes, error patterns, annotations and rarefraction curve analysis. The most basic analysis only requires a BAM file, and outputs a web browser...

pacb.com - While little public data is available for either of the new synthetic long read approaches, Illumina showed an example comparison earlier this year at the Festival of Genomics & Biodata conference (FoG 2022). In the IGV screenshot...

“Ocimum Biosolution” is a comprehensive Integrated Life Science Informatics solutions provider with service offerings that span Sample and Data Management (LIMS, Biologics Data Management), Genomics Data Analysis Services such as Gene Expression,...

github.com - Tool for detecting and cleaning PacBio / Nanopore long reads after whole genome amplification. Check the poster from the Revolutionizing Next-Generation Sequencing (2nd edition) conference in the source...

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...

github.com - Second generation sequencing technologies paved the way to an exceptional increase in the number of sequenced genomes, both prokaryotic and eukaryotic. However, short reads are difficult to assemble and often lead to highly fragmented assemblies....

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...