BOL

ucdavis-bioinformatics-training.github.io - Our team offers custom bioinformatics services to academic and private organizations. We have a strong academic background with a focus on cutting edge, open source software. We replicate standard analysis pipelines (best practices) when...

github.com - Just import the assembly, bam and ALE scores. You can convert the .ale file to a set of .wig files with ale2wiggle.py and IGV can read those directly.  Depending on your genome size you may want to convert the .wig files to the BigWig format.

sourceforge.net - Metassembler combines multiple whole genome de novo assemblies into a combined consensus assembly using the best segments of the individual assemblies. Genome assembly projects typically run multiple algorithms in an attempt to find the single best...

github.com - RapClust is a tool for clustering contigs from de novo transcriptome assemblies. RapClust is designed to be run downstream of the Sailfish or Salmon tools for rapid transcript-level quantification. Specifically,...

github.com - NovoGraph: building whole genome graphs from long-read-based de novo assemblies An algorithmically novel approach to construct a genome graph representation of long-read-based de novo sequence assemblies. We then provide a proof of...

github.com - RNA-Bloom is a fast and memory-efficient de novo transcript sequence assembler. It is designed for the following sequencing data types: single-end/paired-end bulk RNA-seq (strand-specific/agnostic) paired-end single-cell RNA-seq...

Researchers discover the genetic imprints and signatures left by DNA-damaging processes that lead to cancer.

Each chromosome consists of one continuous thread-like molecule of DNA coiled tightly around proteins, and contains a portion of the 6,400,000,000 basepairs (DNA building blocks) that make up your DNA. Originally created for DNA Interactive (...

prakharg24.github.io - We demonstrate a novel approach forlocal alignment of DNA reads with respect to reference genome.For this process we have used Skip-gram model for creatingencoding(Nucl2Vec) and k-nearest neighbor for the alignment.With our new approach we have...