DeepFun – Tissue and Cell Type specific Deep Learning Sequence-based model to Decipher Noncoding Variant Effects.

DeepFun

:: DESCRIPTION

DeepFun is a deep-learning-based model for functional evaluation of genetic variants at the single-base resolution.

::DEVELOPER

Bioinformatics and Systems Medicine Laboratory

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

NO

:: MORE INFORMATION

Citation:

Pei G, Hu R, Jia P, Zhao Z.
DeepFun: a deep learning sequence-based model to decipher non-coding variant effect in a tissue- and cell type-specific manner.
Nucleic Acids Res. 2021 Jul 2;49(W1):W131-W139. doi: 10.1093/nar/gkab429. PMID: 34048560; PMCID: PMC8262726.

DECIPHER 2.20.0 – Decipher & Manage DNA Sequences

DECIPHER 2.20.0

:: DESCRIPTION

DECIPHER (Database Enabled Code for Ideal Probe Hybridization Employing R) is a software toolset that can be used for deciphering and managing DNA sequences efficiently using the R statistical programming language.  The program is designed to be used with non-destructive workflows that guide the user through the process of importing, maintaining, analyzing, manipulating, and exporting a massive amount of DNA sequences.

::DEVELOPER

Erik Wright

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 DECIPHER

:: MORE INFORMATION

Citation

DesignSignatures: a tool for designing primers that yield amplicons with distinct signatures.
Wright ES, Vetsigian KH.
Bioinformatics. 2016 Jan 23. pii: btw047

ES Wright et al. (2011)
DECIPHER: A Search-Based Approach to Chimera Identification for 16S rRNA Sequences.”
Applied and Environmental Microbiology,

ClueGO 2.0.5 – Cytoscape Plugin to Decipher Gene Ontology and Pathway Annotation Networks

ClueGO 2.0.5

:: DESCRIPTION

ClueGO is a Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes in a functionally grouped network and it can be used in combination with GOlorize. The identifiers can be uploaded from a text file or interactively from a network of Cytoscape. The type of identifiers supported can be easely extended by the user. ClueGO performs single cluster analysis and comparison of clusters. From the ontology sources used, the terms are selected by different filter criteria. The related terms which share similar associated genes can be fused to reduce redundancy. The ClueGO network is created with kappa statistics and reflects the relationships between the terms based on the similarity of their associated genes. On the network, the node colour can be switched between functional groups and clusters distribution. ClueGO charts are underlying the specificity and the common aspects of the biological role.

::DEVELOPER

Integrative Cancer Immunology Laboratory

:: SCREENSHOTS

:: REQUIREMENTS

:: DOWNLOAD

 ClueGO

:: MORE INFORMATION

Citation

ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks.
Bindea G, Mlecnik B, Hackl H, Charoentong P, Tosolini M, Kirilovsky A, Fridman WH, Pagès F, Trajanoski Z, Galon J.
Bioinformatics. 2009 Apr 15;25(8):1091-3. Epub 2009 Feb 23.