BOL

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...

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...

github.com - PPanGGOLiN (Gautreau et al. 2020) is a software suite used to create and manipulate prokaryotic pangenomes from a set of either genomic DNA sequences or provided genome annotations. It is designed to scale up to tens of thousands of genomes. It...

NATIONAL INSTITUTE OF IMMUNOLOGY, NEW DELHI-110067 Applications are invited for the position of Senior Research Fellow for the following time-bound sponsored project as per the details given below: 1. BTIS project on, “Bioinformatics...

github.com - MEGAHIT is a single node assembler for large and complex metagenomics NGS reads, such as soil. It makes use of succinct de Bruijn graph (SdBG) to achieve low memory assembly. MEGAHIT can optionally utilize a CUDA-enabled GPU to...

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...

github.com - GraphUnzip, a fast, memory-efficient and accurate tool to unzip assembly graphs into their constituent haplotypes using long reads and/or Hi-C data. As GraphUnzip only connects sequences in the assembly graph that already had a potential link based...

Almost all the scripting languages such as Perl, Python etc have built-in sort, but unfortunately none of them are as flexible as sort command. But one when it come to space efficiency GNU sort stands at the top. It can sort a 20Gb file with less...

github.com - Achieving accurate and interpretable clinical predictions requires paramount attention to thoroughly characterizing patients at both the molecular and biological pathway levels. In this paper, we present GraphPath, a biological knowledge-driven...