Analyze your RNA sequencing data without writing a single line of code
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Updated
Jun 29, 2024 - Python
Bioinformatics is an interdisciplinary field that intersects with biology, computer science, mathematics and statistics. It concerns itself with the development and use of methods and software tools for collecting and analyzing biological data.
Analyze your RNA sequencing data without writing a single line of code
Data intensive science for everyone.
ARG normalization by mapping to the ARO ontology.
Revolutionizing DNA analysis and making it accessible to all through innovative AI-powered analysis and interpretive tools.
GCModeller: genomics CAD(Computer Assistant Design) Modeller system in .NET language
P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
Aim to be the bioinformatics repository with more and newer packages
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Conda recipes for the bioconda channel.
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Process raw haplotagging data, from raw sequences to phased haplotypes, batteries included.
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Comprehensive lifecycle tracking algorithms for yeast cells
Predict the whole sequence and 3D structure of masked protein sequences with ESM by @evolutionaryscale
Extension to HCV-GLUE - contains all published HCV data from NCBI, plus analysis logic for HCV genomes.
Integrated Pipeline Reports (IPR) client. The web interface for the reporting application as part of PORI
A collection of various tools useful for the deep analysis of data generated via the CRSSANT/rna2d3d pipeline.