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condiga
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public |
ConDiGA: Contigs Directed Gene Annotation for accurate protein sequence database construction in metaproteomics
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2025-04-22 |
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snaketool-utils
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public |
Utility functions for Snaketool CLI for bioinformatics tools
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2025-04-22 |
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metasnek
|
public |
Misc functions for metagenomics pipelines
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2025-04-22 |
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conifer
|
public |
Calculate confidence scores from Kraken2 output
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2025-04-22 |
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phynteny
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public |
Phynteny: Synteny-based prediction of bacteriophage genes
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2025-04-22 |
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rsv-typer
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public |
Genotyping RSV samples from nanopore sequencing data
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2025-04-22 |
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pyeasyfuse
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public |
EasyFuse is a pipeline to detect fusion transcripts from RNA-seq data with high accuracy. The current version of EasyFuse uses two fusion gene detection tools, STAR-Fusion and Fusioncatcher along with a powerful read filtering strategy, stringent re-quantification of supporting reads and machine learning for highly accurate predictions.
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2025-04-22 |
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skder
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public |
skDER & CiDDER: efficient & high-resolution dereplication methods for microbial genomes
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2025-04-22 |
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ribotin
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public |
Ribosomal DNA assembly tool
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2025-04-22 |
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orfanage
|
public |
Ultra-efficient and sensitive method to search for ORFs in spliced genomes guided by reference annotation to maximize protein similarity within genes.
|
2025-04-22 |
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marti
|
public |
Metagenomic Analysis in Real Time
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2025-04-22 |
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mira-multiome
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public |
Single-cell multiomics data analysis
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2025-04-22 |
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referee
|
public |
Quality scoring for reference genomes
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2025-04-22 |
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r-metadig
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public |
A set of utility methods for authoring MetaDIG checks in R.
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2025-04-22 |
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dimet
|
public |
A tool for Differential Isotope-labeled targeted Metabolomics
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2025-04-22 |
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bioconductor-scmultiome
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public |
Collection of Public Single-Cell Multiome (scATAC + scRNAseq) Datasets
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2025-04-22 |
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demultiplex
|
public |
Demultiplex any number of FASTA or a FASTQ files based on a list of barcodes
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2025-04-22 |
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fastools
|
public |
FASTA/FASTQ analysis and manipulation toolkit.
|
2025-04-22 |
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bioconductor-cytofqc
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public |
Labels normalized cells for CyTOF data and assigns probabilities for each label
|
2025-04-22 |
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bioconductor-svmdo
|
public |
Identification of Tumor-Discriminating mRNA Signatures via Support Vector Machines Supported by Disease Ontology
|
2025-04-22 |
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bioconductor-cbnplot
|
public |
plot bayesian network inferred from gene expression data based on enrichment analysis results
|
2025-04-22 |
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bioconductor-cytoviewer
|
public |
An interactive multi-channel image viewer for R
|
2025-04-22 |
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bioconductor-ifaa
|
public |
Robust Inference for Absolute Abundance in Microbiome Analysis
|
2025-04-22 |
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bioconductor-top
|
public |
TOP Constructs Transferable Model Across Gene Expression Platforms
|
2025-04-22 |
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r-eztune
|
public |
Contains two functions that are intended to make tuning supervised learning methods easy. The eztune function uses a genetic algorithm or Hooke-Jeeves optimizer to find the best set of tuning parameters. The user can choose the optimizer, the learning method, and if optimization will be based on accuracy obtained through validation error, cross validation, or resubstitution. The function eztune.cv will compute a cross validated error rate. The purpose of eztune_cv is to provide a cross validated accuracy or MSE when resubstitution or validation data are used for optimization because error measures from both approaches can be misleading.
|
2025-04-22 |
