Reverse Dependencies of bioservices

The following projects have a declared dependency on bioservices:

• async-bioservices — This is an asynchronous method of accessing bioservice's db2db function
• BIOecmpy — Automated construction of enzyme constraint models using ECMpy workflow
• capblood-seq-viz — Interactive visualization web app for capillary blood data
• cazy-webscraper — A tool to automate retrieving data from CAZy, build a local CAZyme SQL database, and throughly interrogating the data. Also, automate retrieving protein data, sequences, EC numbers and structure files for specific datasets in the CAZyme database from UniProt, GenBank and PDB.
• django-mbrowse — Browse and View Metabolomic datasets
• ecmpy — Automated construction of enzyme constraint models using ECMpy workflow
• ECMpy2.0 — Automated construction of enzyme constraint models using ECMpy workflow.
• esmecata — EsMeCaTa: Estimating Metabolic Capabilties from Taxonomy
• Expression-Database-NCI — Toolkits for NCBI GEO and ArrayExpress
• GEDSpy — GEDSpy
• graphein — Protein & Interactomic Graph Construction for Machine Learning
• kegg2bipartitegraph — Reconstruct metabolic bipartite graph using KEGG
• MAGINE — Package to analyze biological data.
• multi_bioservices — This is a multithreaded version of various BioServices functions
• ncfp — ncfp is a script and module that facilitates recovery of nucleotide sequences from NCBI encoding a specified set of input protein sequences
• refineGEMs — refineGEMs: a python package intended to help with the curation of genome-scale metabolic models (GEMS)
• sequana — A set of standalone application and pipelines dedicated to NGS analysis
• ssbio-edbr — Tools to enable structural systems biology, forked from SBRG/ssbio
• ssbtoolkit — Simulation of methematical models of signaling pathways of GPCRs
• STMiner — Python package for spatial transcriptomics data analysis
• wikinetworks — A user-friendly Python package to process pathways from the WikiPathways database into machine-readable network representations.