Genome analysis

  • OPERA-MS: Hybrid Metagenomic Assembler

  • A hybrid metagenomic assembler which combines the advantages of short and long-read technologies to provide high quality assemblies, addressing issues of low contiguity for short-read only assemblies, and low base-pair quality for long-read only assemblies.
  • GitHub: User manual and software
  • OPERA-LG: Genome Scaffolder

  • Robust & Efficient, Handles Repeats, Matepairs+Long-reads
  • Wiki: User manual
  • SourceForge: Download software
  • INC-Seq

  • Accurate single molecule reads using nanopore sequencing
  • GitHub: User manual and software
  • GraphMap

  • A highly sensitive and accurate mapper for long, error-prone reads
  • GitHub: User manual and software
  • Racon

  • Consensus module for raw de novo DNA assembly of long uncorrected reads.
  • GitHub: User manual and software
  • PORE-cupine

  • Chemical utilized probing interrogated using nanopores
  • GitHub: User manual and software
  • miniBarcoder

  • A MinION‐based pipeline for fast and cost‐effective DNA barcoding
  • GitHub: User manual and software
  • GiRaF

  • Robust, Computational Identification of Influenza Reassortments via Graph Mining
  • GitHub: User manual and software

Metagenomic system biology

  • BEEM: microbial community dynamics

  • Modelling microbial community dynamics based on longitudinal metagenomic sequencing data (16S or shotgun-metagenomics). It is based on the commonly used generalized Lotka-Volterra modelling (gLVM) framework.
  • GitHub: User manual and software
  • BEEM-static

  • Learning directed microbial interactions from cross-sectional microbiome profiling data based on the generalized Lotka-Volterra model (gLVM).
  • GitHub: User manual and software
  • @MInter

  • SVM/regex abstract parser for identification of microbial interactions
  • GitHub: User manual and software
  • PLoT-ME

  • Pre-classification of Long-reads for Memory Efficient Taxonomic assignment
  • GitHub: User manual and software

Cancer genomics

  • TUGDA

  • Task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in in vitro to in vivo settings
  • GitHub: User manual and software
  • OncoIMPACT

  • OncoIMPACT is a first-in-class algorithmic framework that nominates patient-specific driver genes by integratively modeling genomic mutations (point, structural and copy-number) and the resulting perturbations in transcriptional programs via defined molecular networks.
  • GitHub: User manual and software
  • CaDRReS

  • Cancer Drug Response prediction using a Recommender System (CaDRReS) is based on the matrix factorization approach to predict which drugs are sensitive for an unseen cell line.
  • GitHub: User manual and software
  • CaDRReS-Sc

  • A framework for analyzing drug response heterogeneity based on single-cell RNA-seq data
  • GitHub: User manual and software

Others

  • EDDA

  • Experimental Design in Differential Abundance analysis (EDDA) is a tool for systematic assessment of the impact of experimental design and the statistical test used on the ability to detect differential abundance.
  • GitHub: User manual and software
  • Shotgun Metagnomics Pipeline (Nextflow)

  • A Nextflow re-implementation of the original pipeline used by MTMS at the Genome Institute of Singapore (GIS).
  • GitHub: User manual and pipeline
  • GERMS 16S pipeline

  • a remake of the original 16S pipeline developed with in the Genome Institute of Singapore, designed for Illumina shotgun sequencing of 16S rRNA amplicon sequences (Ong et al., 2013)
  • GitHub: User manual and pipeline
  • ViPR2

  • A collection of scripts used for the analysis of RNA viruses, based on LoFreq
  • GitHub: User manual and pipeline
  • decont

  • Decontaminate FastQ files by mapping with BWA-MEM against a given source.
  • GitHub: User manual and pipeline
  • Cancer driver benchmarking

  • Pipeline for mutation benchmarking of various softwares.
  • GitHub: Scripts
  • AD-caregiver-manuscript

  • Shared signatures and divergence in skin microbiomes of children with atopic dermatitis and their adult caregivers
  • GitHub: Data and scripts
  • Antibiotic recovery study

  • Metagenome-wide association analysis identifies microbial determinants of post-antibiotic ecological recovery in the gut
  • GitHub: Data and scripts
  • Cancer driver evaluation

  • Evaluating cancer driver prediction methods and compare them against predictions obtained from 18 different existing methods on 15 TCGA cancer types
  • GitHub: Scripts
  • SPLASH

  • Analyzing data from the SPLASH protocol for generating in vivo RNA interactome maps
  • GitHub: Scripts