Imputeme file download

After the file is uploaded, you will receive an email explaining how many other users are waiting in the queue, and the expected amount of time you will need to wait for your results. Users can then download their imputed data and browse the website by using the uniqueID number provided.

The health risks are shown in charts. Each score is calculated based on a scientific study, which is also provided by the website. The table is not very user-friendly and was probably intended for people who have some previous knowledge in genetics. From the table, you can find a column that indicates your genotype and another that shows the risk and non-risk allele. This allows Impute. Although the table format is a good way to present complicated information, the data may not be easily comprehended by a regular person who lacks strong knowledge of genetics.

The number of SNPs analyzed for each trait can vary from half a dozen to a few thousand, depending on which study the report was based on. Another DNA analysis offered by Impute. Here, you will find a list of fitness-related SNPs, your genotype, and a brief description of the variant.

The website also provides a table containing genetic risk scores for a number of injuries and dietary needs. Similar to the Complex Diseases module, Impute. You will simply receive the number of SNPs you have related to a particular trait and your genetic risk score. As an encouragement to donations, the Impute.

Instead, you will be limited to finding out what your risk is compared to other people, and what genetic variants you carry based on your imputed genetic data. Their page is fairly simple and has no navigation options. Project links Homepage. Maintainers xikanfeng2. Help If you have any questions or require assistance using I-Impute, please contact us with xikanfeng2 gmail.

Project details Project links Homepage. Download files Download the file for your platform. Files for i-impute, version 1. Close Hashes for i-impute File type Wheel. Python version py3. Upload date Mar 11, Hashes View.

File type Source. Python version None. R 5 file, this calls the cron-job driven functions for imputation and summary.

The difference with this mode is that it processes in multiples of ten samples. This economises use of computer-power, at the cost of taking more time from data-submission to finished results.

R script 6. For setups that need to override processing scheduling, e. The function will then handle vcf-files from whole-genome sequencing in order to create a format compatible with downstream analysis calculators. The format, which is indicated as Extracted data in the schematics above, is virtually the same as the output of a microarray imputation.

This is done according to the approach described here , where missing data is treated as homozygote reference. This is done to avoid exon sequencing and low-coverage sequencing processed using this approach. R several scripts, e. The idea is that even after the computationally expensive imputation and extraction steps, there are many of the scores that will benefit from pre-processing at time of first analysis.

R files in new folders. Additionally a ui. R and a server. A template module which contains the very minimal configuration is found in the 'template' folder. This function is triggered as the last step in the entire analysis process. It will transfer data back to hub if running as node , create downloadable links and perform results mailing. R file. Further, the illustration is divided up in a left dark grey and right light grey area. This illustrates the data-deletion scheme, wherein information that is personally traceable, such as whole genomes, are deleted 14 days after processing:.

Remaining data, on the right-side of the illustration light-grey , consist of all the derived data, such as disease-gene-scores. Although this includes some genotypes, it is not considered personally traceable because these genotypes cannot be used to track people systematically, e. Skip to content. Star It contains algorithms for personal genome analysis, including imputation and polygenic risk score calculation www. Branches Tags. Could not load branches. Could not load tags.

Latest commit. Git stats 1, commits. Failed to load latest commit information. View code. Part 1: Downloads descriptions On each completed analysis-run an email is sent with the user's uniqueID. This uniqueID can be used to browse the modules on the web-interface described in part 2, but in addition two links are provided for direct download: Gen-format files a file with all the SNPs that are available after the imputation processing.