PubMed Highlight: Next-Generation sequencing visualization

I've just finished an intensive course on NGS data analysis where command line based soutions where of course the best reported way to manage and make sense of data.
Playing with scripts, unix code and R language make you feel a sort of bioinformatic power. You start to blame all those wet-lab collegues spending hours on excel spreadsheets. You are amazed by the results of your last programming trick and effectivness of your command-line skills. Even if this make you proude, keep in mind that a screen full of symbols and over-a-million-row tables have to most og biologist and geneticists the same appeal of the flowing characters of The Matrix...As in the famous movie, not everyone can see the meaning behind the code, most of them will just see a bunch of chars and number, doubting that this is The real world!
A good visualization of genomic data from NGS experiments would make your results nicer to see, easier to explain and explore. Moreover, a colorful alignments of reads in genome browser style or a circos graph sure make a better impact when you show them in your presentations! The scientific community constantly ask for visulization tools that simplify the task of explaining and exploring NGS data, so that they became accessible to everyone, even to the old-school ones.

The last special issue of Briefings in Bioinformatics make an extensive review of the main visualization tools, with an overview on their peculiar advantages and main features. Web-based browsers, UCSC Genome Browser, IGV, Tablet, Bamview and GBrowse are all covered, making this issue the ideal answer to the collegue asking you: "I've just received this great NGS data, but what are all these bam and vcf files? I want to see them nicely placed on my favourite chromosome!".

Main articles in the special issue:
Jun Wang, Lei Kong, Ge Gao, and Jingchu Luo
A brief introduction to web-based genome browsers

Robert M. Kuhn, David Haussler, and W. James Kent
The UCSC genome browser and associated tools

Lincoln D. Stein
Using GBrowse 2.0 to visualize and share next-generation sequence data

Oscar Westesson, Mitchell Skinner, and Ian Holmes
Visualizing next-generation sequencing data with JBrowse

Helga Thorvaldsdóttir, James T. Robinson, and Jill P. Mesirov
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration

Iain Milne, Gordon Stephen, Micha Bayer, Peter J.A. Cock, Leighton Pritchard, Linda Cardle, Paul D. Shaw, and David Marshall
Using Tablet for visual exploration of second-generation sequencing data

Tim Carver, Simon R. Harris, Thomas D. Otto, Matthew Berriman, Julian Parkhill, and Jacqueline A. McQuillan
BamView: visualizing and interpretation of next-generation sequencing read alignments

Michael C. Schatz, Adam M. Phillippy, Daniel D. Sommer, Arthur L. Delcher, Daniela Puiu, Giuseppe Narzisi, Steven L. Salzberg, and Mihai Pop
Hawkeye and AMOS: visualizing and assessing the quality of genome assemblies