advaitabio.com - The confusion about gene ontology and gene ontology analysis can start right from the term itself. There are actually two different entities that are commonly referred to as gene ontology or “GO”:
the ontology itself, which is a...
RESPONSIBILITIES
The candidate is expected to work on a variety of projects related to analysis of data from NGS, Mass Spectrometry, Flow Cytometry and other related modalities. The position expects hands-on work and a strong eye for detail. The...
diytranscriptomics.com - A semester-long course covering best practices for the analysis of high-throughput sequencing data from gene expression (RNA-seq) studies, with a primary focus on empowering students to be independent in the use of lightweight and open-source...
A major breakthrough (replaced microarrays) in the late 00’s and has been widely used since
Measures the average expression level for each gene across a large population of input cells
Useful for comparative transcriptomics,...
homes.sice.indiana.edu - Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models...
github.com - Delta is an integrative visualization and analysis platform to facilitate visually annotating and exploring the 3D physical architecture of genomes. Delta takes Hi-C or ChIA-PET contact matrix as input and predicts the topologically...
http://mgcv.cmbi.ru.nl/ - MGcV is an interactive web-based visalization tool tailored to facilitate small scale genome analysis. To start using MGcV:
Supply your genes/genomic segments/phylogenetic tree of interest in the input-box by
selecting the type of identifier...
Scientist B at AIIMS, New Delhi, Delhi
Overview
Applications are invited from eligible candidates for the following position under Meity funded research project entitled: Artifical Intelligence in Oncology, Harnsessing big data and advanced...