ViFi | identifying viral integration and fusion mRNA reads | Genomics library
kandi X-RAY | ViFi Summary
kandi X-RAY | ViFi Summary
ViFi is a tool for detecting viral integration and fusion mRNA sequences from Next Generation Sequencing data. Unlike standard approaches that use reference-based read mapping for identification of viral reads, ViFi uses both reference-based read mapping and a phylogenetic-based approach to identify viral reads. ViFi also incorporates mappability scores of the reads to filter out false positive integration detection. The end result is a tool that can accurately and precisely detect integrated viruses, even if the viruses are highly mutated or novel strains. ViFi is currently in alpha testing, is is constantly undergoing revisions. High on the priority list is an easier installation process, as well as improve user interface. Please report any problems/bugs to Nam Nguyen (ndn006@eng.ucsd.edu) so that ViFi can be improved and problems can be quickly corrected. Due to major issues with incompatibilities between versions of Pysam and Samtools, Python versions, as well as issues with software compatibility between different platforms, we highly recommend that users discontinue the use the Python version of ViFi, and instead, use the Dockerized version of ViFi. The Dockerized version is platform independent and only requires Python (either version 2.7 or 3.0) and Docker to be installed, and no other software package is needed. We outline below how to set up and install the Dockerized version, and how to run the Dockerized version. In addition, we include a [Tutorial] for all the different options within ViFi below. We will include instructures on how to run ViFi from the source code, but again, strongly discourage against this usage.
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Top functions reviewed by kandi - BETA
- get rep_content
- Find a set of true breakpoint ranges .
- Calculate the offset of each chromosome .
- Run Nhmmer pipeline .
- Decompose a tree .
- Build hms .
- Find the largest subset of clist
- Read Nhmmer result from file
- Prepare sequences that are mapped to HMC .
- Load the exons file
ViFi Key Features
ViFi Examples and Code Snippets
Community Discussions
Trending Discussions on ViFi
QUESTION
I need to implement a chart like in this link: highchart-image
So i found a plugin in highchart, i think is usefull to use it:
http://highchartsweb.vifi.ee/plugin-registry/single/42/Zero-align%20y-axes
I use the file who is responsible for the alignement with name 'tick_positioner.js' and i add it to my angular application.
...ANSWER
Answered 2019-Jan-23 at 14:54To create such type of chart, you do not need to use zero-align y-axes
plugin:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ViFi
Install Dependencies:
Python (2.7 or 3.0; instructions for 2.7 is shown)
Docker (https://docs.docker.com/install/)
Download and run setup.sh (If Perl is installed and on Mac/Linux system). Running this script will automatically download ViFi from GitHub, automatically download the repositories from Google Drive, pull the latest ViFi docker image, set all the environmental variables for ViFi, build the BWA index for hg19+HPV via Docker, and run a test run of ViFi via Docker. It can take up to an hour for the full set of tests to complete and run. Make sure you have at least 10 Gb of space free for the process to complete.
Clone the ViFi repository
Set the ViFi directory and include the python source to your Python path
Download the data repositories: While we include some annotations, we are unable to host some large files in the git repository. These may be downloaded from https://drive.google.com/open?id=0ByYcg0axX7udUDRxcTdZZkg0X1k. Thanks to Peter Ulz for noticing incorrect link earlier.
Download the HMM models: We have pre-build HMM models for HPV and HBV. They can be downloaded from https://drive.google.com/open?id=0Bzp6XgpBhhghSTNMd3RWS2VsVXM.
Build a BWA index on the reference sequences from human+viral sequences: We show an example of building an index of human+viral sequences using Hg19 and HPV and HBV below. However any reference organism+viral family could be used.
We provide instructions for installing ViFi on Linux below.
ViFi download (if you have not already cloned this source code):
Install Dependencies: Python 2.7 sudo dnf install python2 Pysam verion 0.9.0 or higher (https://github.com/pysam-developers/pysam): sudo pip install pysam Samtools 1.3.1 or higher (www.htslib.org/) sudo apt-get install samtools BWA 0.7.15 or higher (bio-bwa.sourceforge.net/) sudo apt-get install bwa Install HMMER v3.1b2 and have it on the path (http://hmmer.org/) sudo apt-get install hmmer
Set the ViFi directory and include the python source to your Python path
Download the data repositories: While we include some annotations, we are unable to host some large files in the git repository. These may be downloaded from https://drive.google.com/open?id=0ByYcg0axX7udUDRxcTdZZkg0X1k. Thanks to Peter Ulz for noticing incorrect link earlier.
Download the HMM models: We have pre-build HMM models for HPV and HBV. They can be downloaded from https://drive.google.com/open?id=0Bzp6XgpBhhghSTNMd3RWS2VsVXM.
Build a BWA index on the reference sequences from human+viral sequences: We show an example of building an index of human+viral sequences using Hg19 and HPV and HBV below. However any reference organism+viral family could be used.
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