TechBlog: eMAGE extends the gene-editing toolkit
The term “genome-editing” has become synonymous with CRISPR-Cas. But there’s more than one way to edit a genome, and each has its pros and cons. Read more
The term “genome-editing” has become synonymous with CRISPR-Cas. But there’s more than one way to edit a genome, and each has its pros and cons. Read more
The current focus on single-cell biology reflects the growing awareness among life scientists that all cells are not alike. Read more
“How’s my paper doing?” It’s such a simple question, and in today’s hyperconnected world it’s relatively easy to work out who’s reading and talking about your scientific publications. But are there conversations you might be overlooking? Read more
Timothée Poisot recently travelled to London for MozFest 2017, “The world’s leading festival for the open Internet movement.” There, the quantitative and computational ecologist at the University of Montréal in Canada ran a session entitled “Scientific computing for the terabyte-less.” Here, he tells Naturejobs why life science research needn’t necessarily follow the Big Data model. Read more
Bioinformatics is notoriously complicated, what with its arcane command-line interface, complex workflows, and massive datasets. For the uninitiated, simply installing the software can present a problem. Read more
It’s no secret these days that researchers increasingly are focused on data reproducibility and transparency. Read more
For this week’s Technology Feature, Michael Eisenstein wrote about the technology, applications, and challenges of nanopore DNA sequencing. In brief, the technology involves threading intact pieces of DNA through a tiny aperture in a membrane or other barrier, through which a current flows. As each base passes, it disrupts that current in a characteristic way, allowing the sequence to be determined. Read more
Bioinformatics isn’t easy for newbies. It’s typically done on the Linux command line, where users direct the computer using text-based instructions rather than clicking a mouse. Read more
For my recent Toolbox on 3D genome visualization tools, Nils Gehlenborg at Harvard Medical School clued me into two interesting pieces of software. One, HiGlass,was included in my article; a related tool, HiPiler, was not. But that doesn’t mean it’s not worth talking about. Read more
Most coders come to bioinformatics by one of two routes. They’re either biologists skilled in programming, or programmers with an interest in biology. Mike Goodstadt, the programmer behind the genome-visualization tool TADkit, took a different approach. Read more