github.com - Over the years most bioinformatics people amass a collection of small utility scripts which make their lives easier. Too often they are kept either in private repositories or as part of a public collection to which noone else can contribute. Biocode...
DEPARTMENT OF BIOTECHNOLOGY
(UGC SAP and DST-FIST & PURSE Sponsored Department)
ALAGAPPA UNIVERSITY
(A State University Accredited by NAAC with „A‟ Grade)
Karaikudi - 630 004, India
WALK IN INTERVIEW
A walk-in Interview for the...
No of vacancies: 01
Pay scale: Pay Band of Rs. 37400-67000 with AGP of Rs. 9000.
i. Educational Qualification: Good academic record with a Ph.D. Degree in the concerned/allied/relevant disciplines.
ii. A Master's Degree with at least 55%...
wego.genomics.org.cn - WEGO (Web Gene Ontology Annotation Plot) is a simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results. As the GO vocabulary became more and more popular, WEGO was widely adopted and used in many...
github.com - pyGenomeTracks aims to produce high-quality genome browser tracks that are highly customizable. Currently, it is possible to plot:
bigwig
bed (many options)
bedgraph
links (represented as arcs)
Hi-C matrices (if HiCExplorer is...
Applications are invited from highly motivated students (UGC-CSIR-JRF) with a background in Genomics/ Biotechnology/ Molecular Microbiology/ Biochemistry and Bioinformatics to pursue research leading to Ph.D. in the following areas;
1. Cancer...
cran.r-project.org - This package consists of a series of functions created by the author (Jacob) to automate otherwise tedious research tasks. At this juncture, the unifying theme is the more efficient presentation of regression analyses. There are a number of...
www.mrc-lmb.cam.ac.uk - This is about how to use a computer to find what is known about a gene of interest and also how to get new insights about it.
The tutorial is divided in three main parts:
In the Sequence part, you will see how to look efficiently for a...
pangenome.github.io - Standard approaches to genome inference and analysis relate sequences to a single linear reference genome. This is efficient but has a fundamental problem: Differences from this reference are hard to observe and describe in a coherent way. Variation...