BOL

Ch. Charan Singh University, Meerut http://molbiolabccsumrt.webs.com/ Applications are invited for one post of RA in a DBT funded research project “Creation of Bioinformatics Infrastructure Facility (BIF) for the promotion of Biology Teaching...

gvolante.riken.jp - gVolante provides an online interface for completeness assessment of user’s original or publicly available sequence datasets as well as for browsing results of completeness assessment performed on publicly available genome and...

www.tutorialspoint.com - Online coding group for most of the programming languages. Code in almost all popular languages using Coding Ground. Edit, compile, execute and share your projects, 100% cloud. http://www.tutorialspoint.com/codingground.htm

Our section develops and applies computational methods for the analysis of massive genomics datasets, focusing on the challenges of genome sequencing and comparative genomics. We aim to improve such foundational processes and translate emerging...

sourceforge.net - Genobuntu is a software package containing more than 70 software and packages oriented towards NGS. In its current version, Genobuntu supports pre assembly tools, genome assemblers as well as post assembly tools.Commonly used biological software and...

github.com - Allio, R., Schomaker-Bastos, A., Romiguier, J., Prosdocimi, F., Nabholz, B., & Delsuc, F. (2020) Mol Ecol Resour. 20, 892-905. (publication link) Mitofinder is a pipeline to assemble mitochondrial genomes...

www.encodeproject.org - The ENCODE project uses Reference Genomes from NCBI or UCSC to provide a consistent framework for mapping high-throughput sequencing data. In general, ENCODE data are mapped consistently to 2 human (GRCH38, hg19) and 2 mouse...

github.com - Generate unique k-mers for every contig in a FASTA file. Unique k-mer is consisted of k-mer keys (i.e. ATCGATCCTTAAGG) that are only presented in one contig, but not presented in any other contigs (for both forward and reverse strands). This tool...

github.com - Perform Alignment-free k-tuple frequency comparisons from sequences. This can be in the form of two input files (e.g. a reference and a query) or a single file for pairwise comparisons to be made.

github.com - Just import the assembly, bam and ALE scores. You can convert the .ale file to a set of .wig files with ale2wiggle.py and IGV can read those directly.  Depending on your genome size you may want to convert the .wig files to the BigWig format.