Search Results for "gem-mappability"

.... ----- PBHoney ----- Read The Paper http://www.biomedcentral.com/1471-2105/15/180/abstract PBHoney is an implementation of two variant-identification approaches designed to exploit the high mappability of long reads (i.e., greater than 10,000 bp). PBHoney considers both intra-read discordance and soft-clipped tails of long reads to identify structural variants.

The Genome Mappability Analysis suite is used for measuring how well NGS reads can be mapped to reference genomes, especially for discovering variations

...This aligner proposes a general approach to properly aligning both easy and hard reads to large genomes such as the human genome. Perform evaluation on alignment quality reals that CUSHAW3 consistently outperforms CUSHAW2, BWA-MEM, Bowtie2 and GEM in terms of single-end and paired-end alignment. Furthermore, our aligner has demonstrated better paired-end alignment performance than Novalign3 for short-reads with high error rates.

Latest Code on GitHub: https://github.com/aquaskyline/SOAP3-dp SOAP3-dp, through leveraging the computational power of both CPU and GPU with optimized algorithms, delivers high speed and sensitivity simultaneously. Compared with widely adopted aligners including BWA, Bowtie2, SeqAlto, CUSHAW2, GEM and GPU-based aligners BarraCUDA and CUSHAW, SOAP3-dp was found to be two to tens of times faster, while maintaining the highest sensitivity and lowest false discovery rate (FDR) on Illumina reads with different lengths. SOAP3-dp natively supports BAM file format and provides the same scoring scheme as BWA, which enables it to be integrated into existing analysis pipelines. ...

...EXCAVATOR has been published on Genome Biology (http://genomebiology.com/2013/14/10/R120/abstract). #################### ATTENTION!!!!! In order to use properly the EXCAVATOR tool, users must download the uniqueome mappability files at the following link: http://grimmond.imb.uq.edu.au/uniqueome/downloads/hg19_uniqueome.coverage.base-space.25.1.Wig.gz (for hg19) http://grimmond.imb.uq.edu.au/uniqueome/downloads/hg18_uniqueome.coverage.base-space.25.1.Wig.gz

A set of very optimized tools for indexing/querying huge genomes/files. Provided so far: a very fast exact mapper, and an unconstrained split-mapper

GEM is a computational method for identification of transcription factor modulators, using expression datasets. The method tests if the correlation between factor and target gene depends on the expression of the modulator.