Dalmolin Systems Biology Group (dalmolingroup)

Dalmolin Systems Biology Group

dalmolingroup

Geek Repo

Research group in Systems Biology at UFRN

Location:Natal, RN - Brazil

Home Page:https://dalmolingroup.github.io/

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Dalmolin Systems Biology Group's repositories

MEDUSA

Metagenomic pipeline managed by snakemake

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bulkrna

Dalmolin Group's workflow for pre-processing, alignment and quantification of bulk RNA-seq data

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neurotransmissionevolution

Research compendium for Viscardi et al, 2020.

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euryale

A pipeline for taxonomic classification and functional annotation of metagenomic reads. Based on MEDUSA

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intro-single-cell

Introduction to single-cell RNA-seq analysis

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KeggPathwayAPs

Systems Biology Approaches in the Investigation of Articulation Points in Kegg Metabolic Pathways

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Network-lncRNA-mCRPC

Scripts used in the analyzes of the paper titled "Revealing metastatic castration-resistant prostate cancer (mCRPC) master regulator through lncRNA-centered regulatory network".

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annotate

Python script to annotate each query using the best alignment for which a mapping is known

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meta_taraoceans

Bioinformatics research project on metagenomic in samples from TaraOceans expediction

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transcriptogramer

R package for transcriptional analysis based on transcriptograms

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trastuzumab_dge

DGE for trastuzumab-treated expression datasets

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KEGG-Pathway-Viewer

Tool to visualize KEGG networks

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LeadNPC

Systems Biology-Based Analysis Indicates Global Transcriptional Impairment in Lead-Treated Human Neural Progenitor Cells

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mdd-paper

Sex-specific transcriptional alteration profile of MDD

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MicroView

A reporting tool for aggregating results from taxonomic classification analyses

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seriation

C code to find a suitable linear order for a set of proteins

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dalmolingroup.github.io

Dalmolin Group's website

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essential_genes_paper

Repository for the ancestry analysis of essential genes in eukaryotes

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MEDUSA_supplements

A hub for information related to the manuscript "MEDUSA: A Pipeline for Sensitive Taxonomic Classification and Flexible Functional Annotation of Metagenomic Shotgun Sequences"

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