https://www.kubeflow.org/ - The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed...
Junior Research Fellow for a DBT sponsored project entitled "Computational and experimental characterization of stage specific arginine methylation in P. falciparum proteome".
Candidates should have a 1st class MSc/MTech/BTech degree in...
There are many R software and bioconductor packages for NGS data analysis, some of them are as follows
Biostrings
The Biostrings package from Bioconductor provides an advanced environment for efficient sequence management and analysis in R. It...
SRF/ Project Assistant Bioinformatics recruitment in National Institute for Research in Reproductive Health (NIRRH)
Title of Project : 1. “Analysis Of The Structures Of Known Antimicrobial Peptides Using Machine Learning Algoitms And Molecular...
github.com - CSBB is a command line based bioinformatics suite to analyze biological data acquired through varied avenues of biological experiments. CSBB is implemented in Perl, while it also leverages the use of R and python in background for specific modules....
sfg.stanford.edu - This website and accompaning documents are intended as a tool to help researchers dealing with non-model organisms acquire and process transcriptomic high-throughput sequencing data without having to learn extensive bioinformatics skills. It covers...
Research Associate Bioinformatics in IISc Recruitment 2020
Essential Qualifications: Ph.D. (Bioinformatics/ Biophysics/ Biotechnology or any other stream of biological/ physical sciences) with a minimum of two publications in reputed peer...
carpentries-incubator.github.io - Introduction to Bioinformatics workflows with Nextflow and nf-core
Getting Started with Nextflow
Objectives Understand
What a workflow management system is.
Understand the benefits of using a workflow management system.
Explain the benefits of...
In a lot of my work in bioinformatics, I have been using hidden Markov models (HMMs). As a postdoc with David Haussler at UCSC we developed the so-called profile HMMs (refs). Since then I have applied HMMs to membrane proteins (refs) and gene...