BOL

The 4-day course is organized as a series of morning lectures and afternoon hands-on workshops.

The purpose of this cheat sheet is to introduce biologist and bioinformatician to the frequently used tools for NGS analysis as well as giving experience in writing one-liners. File System ls — list items in current directory ls...

Following are the list of top 30 bioinformatics companies in India. The companies name order does not follow any specific pattern. 1. Accelrys Software Solution Pvt Ltd.12th Floor, Discover, ITPL, White Field, Bangalore-65.www.accelrys.com 2....

Reference-free prediction of rearrangement breakpoint reads | Bioinformatics | Oxford Academic https://academic.oup.com/bioinformatics/article/30/18/2559/2475628 Reference-free SNP detection: dealing with the data...

Applications are invited for a Junior Research Fellow (JRF) in Innovative Young Biotechnologist Award (IYBA) research project funded by Department of Biotechnology (DBT). The project involves identification and characterization of transcription...

The interaction between proteins and other molecules is fundamental to all biological functions. In this section we include tools that can assist in prediction of interaction sites on protein surface and tools for predicting the structure of the...

pharmacogenomics companies in India are making their good impacts. Here is the list of few pharmacogenomics companies. Please add more if not mentioned here. Genomics in India www.ganitlabs.in www.sandor.co.in www.igib.res.in www.genotypic.co.in...

Here is a small tutorial on how to make best use of multiple processors for bioinformatics analysis. One best way is using perl threads and forks. Knowing how these threads and forks work is very important before implementing them. Getting to know...

The Human Genome Project led to the development of a wide array of technologies to screen the genome and its products (genes, proteins, metabolites) and molecules that interact with these products (chemicals, RNAi). The existence of these tools...

Key Responsibilities - Process and analyse metabolomic, transcriptional, genomics, proteomics and any other kind of biological data. - Interpret the data in the context of relevant biological literature to generate actionable insights. -...