Following our announcement this month of a new collaboration and integration with protocols.io, we’ve gone into more detail on the first two papers that have utilised this open access repository of scientific methods and collaborative protocol-centered platform.

GigaScience recently published an article all about a Genotype Investigator for Genome-Wide Analyses, alternatively known as Gigwa. But what is this and how can it help? Guilhem Sempere explains more in a guest post. Exploring the structure of genomes and analyzing their evolution is essential to understanding the adaptation of organisms to biotic and abiotic environments.

Imagine you would like to study a plant species of interest, say for its ability to supply food, fiber, fuel or just to gain a deeper scientific understanding. Two approaches immediately come to mind: an understanding of its underlying genetics and an understanding of plant phenomics, which spans how the genes express themselves across huge length scales from the microscopic to the whole plant itself.

** GigaScience has Tapeworms and Scabies! And Reproducible Research. **While there has been recent controversy (and hashtags in response) from some of the more conservative sections of the medical community calling those who use or build on previous data “research parasites”, as data publishers we strongly disagree with this.

This is a response to Dorothy Bishop’s post “Who’s afraid of open data?“. After we had published a paper on how Drosophila strains that are referred to by the same name in the literature (Canton S), but came from different laboratories behaved completely different in a particular behavioral experiment, Casey Bergman from Manchester contacted me, asking if we shouldn’t sequence the genomes of these five fly strains to find out how they

Sam Minot from Signature Science, LLC and Andy Kilianski from the Edgewood Chemical Biological Center are part of a team that has been trialling a new palm-sized DNA sequencer to test whether it can characterize viruses and bacteria.

Following our efforts promoting open science and “community genomics” projects such as the “Peoples Parrot” and Azolla “crowdfernded” genome , today we have a guest posting from Peng Jiang and Hui Guo at the University of Georgia covering their crowdfunding efforts to sequence the first

The software application PLINK is one of the most widely used tools in bioinformatics, particularly for genome-wide association studies (GWAS) that look at genetic variants in different individuals to see if any variant is associated with a trait. With the advent of the thousand dollar genome, the computational demands being made on such programs are exploding.

The field of synthetic biology, designing and building engineered biological systems through DNA synthesis and genetic engineering, is rapidly moving to a genome scale. In a similar trajectory to genomic sequencing and genome projects two decades ago, it has moved from engineering single genes, entire synthetic bacterial genomes (J Craig Venter’s notorious “Synthia”), to the eukaryotic organism stage.

Using big data to understand the tree of life New work just published in the Proceedings of the National Academy of Sciences and GigaScience reveals important details about key transitions in the evolution of plant life on our planet, and present a huge cache of computational results, data and tools for plant biologists.