Search Results for "take"

...According to benchmarks done on a Mac desktop computer, kallisto can quantify 30 million human bulk RNA-seq reads in less than 3 minutes with just the read sequences and a transcriptome index, that in itself can take more than 10 minutes to build. And since it uses pseudoalignment, it is robust to errors in the reads and preserves the key information needed for quantification. This makes kallisto not only fast but highly accurate as well. In many benchmarks, it even greatly outperforms existing tools.

...Download the quick user manual for the latest version: https://dl.adbioinformatics.net/NGSNeeds/myTools/123Fastq_v1.3_Manual.pdf Authors: Milad Eidi, Samaneh Abdolalizadeh, Mohammad Hossein Nassirpour Supervisors: Javad Zahiri, PhD University of California San Diego  Masoud Garshasbi, PhD Tarbiat Modares University, Tehran, Iran If you use 123FASTQ, please cite this preprint: 123FASTQ: an intuitive and efficient tool for preprocessing Illumina FASTQ reads https://www.biorxiv.org/content/10.1101/2024.03.08.584032v1 ########################################################## Take care of the details and ensure you use the latest version. We hope this helps...

kSNP4 identifies the pan-genome SNPs in a set of genome sequences, and estimates phylogenetic trees based upon those SNPs. SNP discovery is based on k-mer analysis, and requires no multiple sequence alignment or the selection of a reference genome, so kSNP4 can take 100's of microbial genomes as input. A SNP locus is defined by an oligo of length k surrounding a central SNP allele. kSNP4 can analyze both complete (finished) genomes and unfinished genomes in assembled contigs or raw, unassembled reads. Finished and unfinished genomes can be analyzed together, and kSNP can automatically download Genbank files of the finished genomes and incorporate the information in those files into the SNP annotation. ...

* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data...

...Ezys fully exploits the parallel computing power of inexpensive commercial graphics processing units (GPU), resulting in a very fast and accurate program capable of running on desktop PCs and even some laptops. On these systems, non-linear image registrations take less than a minute to complete. Ezys implements a diffeomorphic inverse consistent image registration algorithm with a demons-style regularization based on a non-parametric free form deformation model. Mutual Information and Normalized Mutual Information cost functions make Ezys a perfect tool for an inter-modal image registration.

...The aim is to simulate the effect of the introduction of a cancer vaccine cell which would stimulate the immune response against the tumor-associated antigen, and consequently against cancer cells themselves. In vivo vaccination experiments take very long to complete, so it would be useful to simulate these experiments such that the best schedule of vaccination is determined that would result in control of the cancer cell population.

Software to identify cavities and crevices in proteins. The goal is to be able to take a protein structure, and to differentiate between five different types of environments for each residue: buried, surface, interfacial, cavity, or crevice.

Anna is lightweight Java framework to build pipeline systems of any kind. It will take care of recurrent needs such as dependency management, data serialisation and synchronization as well as parallelization of execution.

Neurofitter is a parameter tuning package for electrophysiological neuron models. For more information please take a look at http://neurofitter.sourceforge.net

Shred is a fast and scalable faceted data browser. The application allows users to navigate the data in an intuitive way and by any path they wish to take. Immediate intuitive information regarding the data is apparent.