BioGenies

Pinned Repositories

AMPBenchmark
Language:R8 2 20
BiolettaBillas
Biosława Biospodarek, known by her stage name Bioletta Billas, was a Polish and international cabaret star, R package developer, actress, imposter and songwriter.
Language:R6 3 00
CancerGram
Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
Language:R4 3 00
countfitteR
Language:CSS4 4 03
imputomics
Language:R10 2 62
MetaboModelleR
Language:R3 2 62
peptide-prediction-list
Collects software dedicated to predicting specific properties of peptides
Language:Shell50 5 18
seminar
Language:HTML8 3 05
shinydetails
Language:R4 4 121
tidysq
tidy processing of biological sequences in R
Language:C++34 5 872

BioGenies's Repositories

BioGenies/peptide-prediction-list
Collects software dedicated to predicting specific properties of peptides
Language:Shell50 5 18
BioGenies/tidysq
tidy processing of biological sequences in R
Language:C++34 5 872
BioGenies/imputomics
Language:R10 2 62
BioGenies/AMPBenchmark
Language:R8 2 20
BioGenies/seminar
Language:HTML8 3 05
BioGenies/BiolettaBillas
Biosława Biospodarek, known by her stage name Bioletta Billas, was a Polish and international cabaret star, R package developer, actress, imposter and songwriter.
Language:R6 3 00
BioGenies/CancerGram
Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
Language:R4 3 00
BioGenies/countfitteR
Language:CSS4 4 03
BioGenies/shinydetails
Language:R4 4 121
BioGenies/MetaboModelleR
Language:R3 2 62
BioGenies/CancerGram-analysis
Language:HTML1 3 10
BioGenies/CancerGramModel
Language:R1 2 0
BioGenies/tidypkg
tidypkg seamlessly supports good practices in the package development for R.
Language:R1 3 00
BioGenies/tidysqadv
advanced algorithms on biological sequences
Language:C++1 2 0
BioGenies/NegativeDatasets
Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data.
Language:HTML0 4 00
BioGenies/PlastoGram
Predicts subplastid localization of proteins along with sequence origin (plastid- or nuclear-encoded).
Language:R0 2 00
BioGenies/amyloid-database-list
2 0
BioGenies/BioGenies.github.io
Language:JavaScript1 0
BioGenies/countfitteR-simulations
Language:PostScript4 0
BioGenies/critical-assessment-list
3 0
BioGenies/golem-modules-example
Example of golem app with simple modules from biogenies seminar
Language:R2 0
BioGenies/imputomics-ws
2 0
BioGenies/kmerFilters
Tools for filtering k-mer data
Language:R2 111
BioGenies/NegativeDatasetsArchitectures
Language:Python2 0
BioGenies/PlastoGram-analysis
Language:HTML2 0
BioGenies/SLOPE
Sorted L1 Penalized Estimation
Language:R2 3