fastpassNGS

Brought to you by: hirokiueda

Add a Review

Downloads: 0 This Week

Last Update: 2019-01-07

Download

Get an email when there's a new version of fastpassNGS

fastpassNGS is firstly designed to analyse RNA editing using NGS RNA Seq analysis.

Project Samples

Project Activity

See All Activity >

Follow fastpassNGS

fastpassNGS Web Site

Other Useful Business Software

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.

Try It Free

Rate This Project

User Reviews

Be the first to post a review of fastpassNGS!

Additional Project Details

Registered

2011-10-14

Report inappropriate content

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Try It Free

Recommended Projects

EricScript
Ericscript is a computational framework to detect gene fusions from paired end RNA-seq data with high sensitity and specificity.
tiglon
Tiglon is a transcriptome assembler via integrating alignments of different RNA-seq reads aligners.
RSeQC
RNA-seq data QC
ISVASE
identification of sequence variant associated with splicing event
RNASeq-MATS
MATS is a computational tool to detect differential alternative splicing events from RNA-Seq data. The statistical model of MATS calculates the P-value and false discovery rate that the difference in the isoform ratio of a gene between two conditions exceeds a given user-defined threshold. From the RNA-Seq data, MATS can automatically detect and analyze alternative splicing events corresponding to all major types of alternative splicing patterns. MATS handles replicate RNA-Seq data from both paired and unpaired study design. More information can be found at http://rnaseq-mats.sourceforge.net.