Search Results for "osf/motif"
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Showing 9 open source projects for "osf/motif"
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Microarray assosiated motif analyzer
Cis-element prediction tool from microarray data
We developed a novel clustering-free method, microarray-associated motif analyzer (MAMA), to predict novel cis-acting elements based on weighted sequence similarities and gene expression profiles in microarray analyses. Simulation of gene expression was performed using a support vector machine and based on the presence of predicted motifs and motif pairs. The accuracy of simulated gene expression was used to evaluate the quality of prediction and to optimize the parameters used in this method... -
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CRISPR-offinder-v1-2
A CRISPR tool for user-defined protospacer adjacent motif
CRISPR/Cas system undoubtedly holds great potential for genome editing. Target site cleavage by CRISPR technology requires a protospacer adjacent motif (PAM) immediately downstream or upstream of the protospacer element to which the sgRNA binds. However, Cas9 from different types of bacteria or variant recognizes different PAM sequences. To meet the needs of different CRISPR system with specific and efficient sgRNA design, CRISPR-offinder was developed. Given an input FASTA file of the target... -
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ISVASE
identification of sequence variant associated with splicing event
To generate correct mature mRNAs, the exons must be identified and joined together precisely and efficiently by RNA splicing mechanism. It is to be noted that about one third or a half of all disease-causing mutations effect RNA splicing. However, there is little bioinformatics tools to directly identify sequence variants associated with splicing events (SVASE) based on RNA-seq data. We developed ISVASE, a simple and convenient tool for identifying SVASE directly using RNA-seq data.... -
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XASTIR
Multiplatform Ham Radio APRS and Mapping Program
NOTE: Code commits are FROZEN on SourceForge: New code is now at <http://github.com/Xastir/Xastir>. Real-time tracking & messaging of stations via radio/internet APRS data streams, w/125 map formats supported. Linux/FreeBSD/Solaris/MacOSX/Windows in any of 7 languages. Can also be used for mobile mapping w/GPS. MAILING LISTS ARE AT: PROJECT->WEB SITE. -
Red Hat Enterprise Linux on Microsoft AzureRed Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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mCarts
A hidden Markov model to predict clustered RNA motif sites
Many RBPs recognize very short and degenerate sequences, with targeting specificity achieved by mechanisms such as synergistic binding to multiple clustered sites and modulation of site accessibility through different RNA-secondary structures. mCarts integrates the number and spacing of individual motif sites, their accessibility and conservation, which substantially improves signal to noise ratio. This algorithm learns and quantifies rules of these features, taking advantage of a large number... -
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IMPACT is an integrated multi-read peak calling tool for ChIP-Seq data. IMPACT utilizes multi-reads in calling peaks and provides users with high-confidence peaks. In addition, IMPACT provides a completely integrated pipeline which produces downstream analysis results such as motif discovery and peak-to-gene annotation.
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FOCIS
FOCIS finds features for functional follow-up
FOCIS (Feature Overlapper for Chromosomal Interval Subsets) performs an interval-based screen of a database of genomic features – ChIP-seq peaks, motif matches, and others – for overlap enrichment at a specific subset of genomic regions relative to a dataset-matched background. It was recently used to discover a novel enhancer that mediates drug resistance in melanoma. -
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Bioinformatics software for analyzing the location of DNA motifs that induce self-catalytic depurination.
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Maximal Clique Motif Reduction (MCMR) is a software program for running and then combining the output of multiple motif finder programs, such as MEME, AlignACE and Weeder, into a set of consensus predictions with associated confidence rankings.
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