Following our efforts promoting open science and “community genomics” projects that have included the “Peoples Parrot” , community cactus, and our very own Bauhinia Genome, today we have a guest posting from the Transbiome team.

Despite the precipitous drop in the price of DNA sequencing, global credit crunches have tightened the science budgets able to properly take advantage of the potential of genomics. While this plummet in cost has led to an explosion of “mega-sequencing” projects carried out by large international consortia, it has also democratized and empowered what can be done outside traditional academia and research funding environments.

All Cats (Microbiomes) are Grey? Regular readers will have seen our interest in “community genome” projects, supported by crowdfunding and alternative means (fashion shows in case of the “peoples parrot”), and we’ve been pleased to see the Azolla fern and Cactus genome projects that we published guest GigaBlog postings from both achieve their funding targets.

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

Despite the precipitous drop in the price of DNA sequencing, global credit crunches have shrunk the science budgets able to properly take advantage of this. At least in the case of non-medical research.

Following our efforts encouraging open-science projects, such as the community funded “Peoples Parrot” and OpenAshDieback, today we have a guest posting from Fay-Wei Li and Kathleen Pryer from the Department of Biology at Duke University covering a crowdfunding effort to sequence the Azolla genome.

A Grassroots Funding effort in Puerto Rico enables genome sequencing of the critically endangered Puerto Rican parrot The rationale and scope for GigaScience has been to cover and provide a home for the growing number of studies producing and handling large-scale biological data, and this “big-data” data bonanza is not just due to well funded labs, but an increasingly globalized and distributed network of researchers.