BOL

Julia Programming Language – A Real Python & R Alternative

eyechrom.com - It's goal is to show chromosmal data per genus. Select the genus, and the plot will show the records found for it in the Chromosome Counts Database. note: Report an issue via Gihub: github.com/roszenil/CCDBcurator and...

The genome of 130 mammals was sequenced by a large international consortium and the data was analyzed together with 110 existing genomes to allow scientists to identify the important positions in the DNA.

github.com - ARG-ANNOT. PMID: 24145532 CARD. PMID: 23650175 MEGARes PMID: 27899569 NCBI BioProject: PRJNA313047 plasmidfinder PMID: 24777092 resfinder. PMID: 22782487 VFDB. PMID: 26578559 SRST2's version...

In today’s era of big biology, we’re generating more data than ever before—genomes, transcriptomes, proteomes, metabolomes, microbiomes… you name it. But raw biological data doesn’t speak for itself. Making sense of it requires more than traditional...

shendurelab.github.io - LACHESIS is method that exploits contact probability map data (e.g. from Hi-C) for chromosome-scale de novo genome assembly. Further information about LACHESIS, including source code, documentation and a user's guide are available...

sourceforge.net - AccNET is a Perl application that presents a new way to study the accessory genome of a given set of organisms. Using the proteomes of these organisms, AccNET create a bipartite network compatible with common network analysis platforms. AccNET...

142.150.188.236 - NAViGaTOR – Network Analysis, Visualization, & Graphing TORonto is a software system for scaleable visualizing and analyzing networks. The current version, NAViGaTOR 3, increases modularity, improves scaleability, extends input/output...

Network analysis is any structured technique used to mathematically analyze a circuit (a “network” of interconnected components). The Network analysis provides the ability to quantify associations between individuals, which...

github.com - It is designed to work with patterned data. Famous examples of problems related to patterned data are: recovering signals in networks after a stimulation (cascade network reverse engineering), analysing periodic signals.