amarinderthind
I am a bioinformatician. Currently working on the integration of genomics and transcriptomics data. https://doi.org/10.1093/bib/bbab259
https://doi.org/10.1093/bib/bbab259 Australia
Pinned Repositories
anamiR
An integrated analysis R package of miRNA and mRNA profiiling
CancerGenomicsCourse_EMBL-EBI
CaSpER
CGRphylo
CGR package for phylogeny. Pipeline compare multiple whole genome sequences using alignment free approach Chaos Game Representation (CGR). CRG core function creates the frequencies object for each sequence which can be used to calculate distances among sequences.
decontaminer
DecontaMiner is a tool designed and developed to investigate the presence of contaminating sequences in unmapped NGS data. It can suggest the presence of contaminating organisms in sequenced samples, that might derive either from laboratory contamination or from their biological source, and in both cases can be considered as worthy of further investigation and experimental validation. The novelty of DecontaMiner is mainly represented by its easy integration with the standard procedures of NGS data analysis, while providing a complete, reliable, and automatic pipeline. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2684-x
EGFR-ap
EGFR-App
Intro-to-ChIPseq
Intro to ChIPseq using HPC
mutation_load_comparison_plot
This plot is useful for the comparison of mutational load across the cancer types, with input data in 2 coulmns i.e cancer types and mutatonal load for each samples in specificed cancer type.
RankerGUI
R script used for the preparation of the initial input file, i.e. merging of various studies by logFC (LogFC),
RNA-seq-tutorial-for-gene-differential-expression-analysis
This RNAseq data analysis tutorial is created for educational purpose
amarinderthind's Repositories
amarinderthind/RNA-seq-tutorial-for-gene-differential-expression-analysis
This RNAseq data analysis tutorial is created for educational purpose
amarinderthind/decontaminer
DecontaMiner is a tool designed and developed to investigate the presence of contaminating sequences in unmapped NGS data. It can suggest the presence of contaminating organisms in sequenced samples, that might derive either from laboratory contamination or from their biological source, and in both cases can be considered as worthy of further investigation and experimental validation. The novelty of DecontaMiner is mainly represented by its easy integration with the standard procedures of NGS data analysis, while providing a complete, reliable, and automatic pipeline. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2684-x
amarinderthind/CGRphylo
CGR package for phylogeny. Pipeline compare multiple whole genome sequences using alignment free approach Chaos Game Representation (CGR). CRG core function creates the frequencies object for each sequence which can be used to calculate distances among sequences.
amarinderthind/Intro-to-ChIPseq
Intro to ChIPseq using HPC
amarinderthind/anamiR
An integrated analysis R package of miRNA and mRNA profiiling
amarinderthind/CancerGenomicsCourse_EMBL-EBI
amarinderthind/CaSpER
amarinderthind/CNAPE
[Source] CNAPE: A Software for Copy Number Alteration Prediction from Gene Expression in Human Cancers
amarinderthind/DEBKS
a tool to detect differentially expressed circular RNA
amarinderthind/DGE_workshop
amarinderthind/EGFR-ap
EGFR-App
amarinderthind/mutation_load_comparison_plot
This plot is useful for the comparison of mutational load across the cancer types, with input data in 2 coulmns i.e cancer types and mutatonal load for each samples in specificed cancer type.
amarinderthind/RankerGUI
R script used for the preparation of the initial input file, i.e. merging of various studies by logFC (LogFC),
amarinderthind/IntEREst
IntEREst: Intron Exon Retention Estimator
amarinderthind/ISOTOPE
ISOform-guided prediction of epiTOPEs in cancer
amarinderthind/Methylation_Analysis
Comprehensive tutorial for differential methylation analysis, differential variability analysis and integrative analysis
amarinderthind/NanoNormIter
Pre-processing of NanoString normalization data, as described in "An approach for normalization and quality control for NanoString RNA expression data" (Bhattacharya and Hamilton et al, 2020)
amarinderthind/NanoStringNCTools
Tools for NanoString Technologies nCounter Technology for reading RCC files into an ExpressionSet derived object, QC and normalization.
amarinderthind/NanostringNormalization
amarinderthind/phlyip-distance-to-Mega-distance
R script for conversion of phylip distance matrix to Mega distance matrix
amarinderthind/scRNA-seq
amarinderthind/scRNA-seq_online
amarinderthind/SeuratExtend
amarinderthind/Somatic-ShortV
amarinderthind/training-material
A collection of Galaxy-related training material