Search Results for "effect"

...The model analyzes DNA sequences of up to 1 million base pairs in length and can deliver predictions at single-base-pair resolution for most outputs. AlphaGenome achieves state-of-the-art performance across a range of genomic prediction benchmarks, including numerous diverse variant effect prediction tasks.

...Please refer to: https://github.com/suhrig/pingpongpro Piwi-interacting RNAs (piRNAs) are a class of small non-coding RNAs, predominantly active in the germ line. There, they limit the detrimental effect of transposons on the genome. They do so by forming a complex with Piwi proteins. The complex binds and then cleaves mRNA molecules of active transposons. The resulting mRNA fragments induce the production of more piRNAs, thus reinforcing the anti-transposon response in a feed-forward loop called the "ping-pong cycle". A key question in ping-pong cycle research is identification of piRNAs which are amplified through the cycle. ...

...The outline is as follows: 1) The input contains the list of SWATH fragment ion XICs from the identified and quantified peptides by software tools such as Skyline and OpenSWATH. 2) The first step in NOFI is the computation of the 4 attributes (RTd, FWHMd, IRd and IRrep) used to represent each fragment ion as a vector. 3) Multivariate outlier detection techniques are used to rank all the fragment ions from each peptide. 4) Several figures are generated (a pdf file) to visualize the effect of the Top-N fragment ions over different indicators. 5) The user can choose the number of top fragment ions per peptide, thereby utilizing the optimal subset of high priority Top-N NOFIs for quantification while excluding the impaired fragment ions.

FishingCNV, a software tool developed at McGill University, is a tool for comprehensive analysis of rare copy number variations in high-throughput exome sequencing data. The inputs are standard coverage files produced by Genome Analysis ToolKit (GATK), and the output is a file containing putative CNVs. The program comes in 2 different releases * GUI version (FishingCNV_X.X.X.zip) * Command line version (FishingCNV_X.X_pipeline) Browse through our files to find the different releases.

The package provides SVM models to be used with SVMlight (http://svmlight.joachims.org/) for drawing a consensus out of individual 3rd-party predictions about the effect of mutations. The 3rd party tools are SIFT, Polyphen2, SNPs&GO and Mutation Assessor. The package also provides a series of Perl modules and scripts to assist in the preparation of data. The modules can be used to build custom tools and pipelines, whereas the scripts provide basic executable implementations based on the modules. ...

...It can handle gaps and ambiguities in different ways. Gaps can be: - all used; - all ignored; - ignored only at the ends of the sequences, in a pairwise manner; - ignored only at the ends, but now globally (in effect trimming the whole alignment to the farthest sequences from the ends). Ambiguities (things like R, Y, N, W, etc. in a DNA sequence) can be treated like: - consider ambiguities as always different; - consider ambiguity as partially different (e.g. R would be 0.5 different from A or G); - ignore ambiguities in each pairwise comparison; - remove all columns, globally, that show any ambiguity. ...

This project is a simplified representation of the main immune system cells and their interactions. 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.