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Akhilesh Kaushal's Projects

oktoberfest icon oktoberfest

Rescoring and spectral library generation pipeline for proteomics.

pancancer icon pancancer

Building classifiers using cancer transcriptomes across 33 different cancer-types

pdx_exomeseq icon pdx_exomeseq

Pipeline analysis for whole exome sequencing of pancreatic cancer PDX models

percy icon percy

Scripts for starting permanent, lightweight EC2 instances

prad-compartments icon prad-compartments

Analysis scripts to accompany Simmons et al 2016 manuscript 'Integrating chromatin compartment maps with genome-wide transcription factor binding profiles and gene expression data identifies transcriptional drivers of prostate carcinogenesis'

prosit icon prosit

Prosit offers high quality MS2 predicted spectra for any organism and protease as well as iRT prediction. When using Prosit is helpful for your research, please cite "Gessulat, Schmidt et al. 2019" DOI 10.1038/s41592-019-0426-7

pwiz icon pwiz

The ProteoWizard Library is a set of software libraries and tools for rapid development of mass spectrometry and proteomic data analysis software.

python icon python

All Algorithms implemented in Python

quip icon quip

Compressing next-generation sequencing data with extreme prejudice.

r-shiny-mysql-template icon r-shiny-mysql-template

This example shows how to use Anychart library with the R programming language, Shiny web framework and MySQL database.

repo-2017 icon repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

rna-bloom icon rna-bloom

:hibiscus: reference-free transcriptome assembly for short and long reads

rna-scoop icon rna-scoop

:shipit: interactive visualization of single-cell transcriptomes

rnaseq_tutorial icon rnaseq_tutorial

Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

sarek icon sarek

Detect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing

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