DRaWR [CRAN Package] [R] [Python]
An algorithm to rank genes and gene properties (e.g. pathway annotations) related to a given gene set using discriminative random walks with restart on a heterogeneous network of biological information.
Multi-class convolutional neural network that models gene knockdowns from paired transcriptional states across many cellular contexts.
A powerful framework for meta-analysis of annotation – condition associations across multiple conditions. cis-Metalysis specifically searches for significant combinations of computational transcription factor binding motifs common across gene sets from multiple related cellular states.
KnowEnG Knowledge Network [Contents] [MySQL] [Redis]
Heterogeneous network of biological knowledge that contains relationships/interactions between and properties/annotations of genes and proteins. This resource harmonizes data from dozens of public databases, covering 20 species and nearly 500M relationships, to facilitate knowledge-guided analysis of genomic datasets.
KN_Builder [Python] [Launcher] [Docker] [Documentation]
Automated, Dockerized, parallelized pipeline that downloads, parses, harmonizes, and reformats the information from public biological databases for the KnowEnG Knowledge Network.
Softwares that empower users of the KnowEnG Knowledge Network
– to download a specific portion, KN_Fetcher [Python] [Docker] [CWL]
– or to map gene and protein names to standard identifiers, KN_Mapper [Python] [Docker] [CWL].
KnowEnG Analytic Pipelines [CWL]
A Common Workflow Language description of the knowledge-guided analyses produced by KnowEnG, useful for building workflows in external compute environments.