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Genomic databases

The FunGenES Database: A Genomics Resource for Mouse Embryonic Stem Cell Differentiation

Herbert Schulz, Raivo Kolde, [ ... ], for the “Functional genomics in embryonic stem cells” Consortium

Mapsnp: An R Package to Plot a Genomic Map for Single Nucleotide Polymorphisms

Fuquan Zhang, Yong Xu, [ ... ], Yin Yao Shugart

Capturing Single Cell Genomes of Active Polysaccharide Degraders: An Unexpected Contribution of Verrucomicrobia

Manuel Martinez-Garcia, David M. Brazel, [ ... ], Ramunas Stepanauskas

The First Illumina-Based De Novo Transcriptome Sequencing and Analysis of Safflower Flowers

Huang Lulin, Yang Xiao, [ ... ], Hu Shangqin

Very Few RNA and DNA Sequence Differences in the Human Transcriptome

Daniel R. Schrider, Jean-Francois Gout, Matthew W. Hahn

The Princeton Protein Orthology Database (P-POD): A Comparative Genomics Analysis Tool for Biologists

Sven Heinicke, Michael S. Livstone, [ ... ], Kara Dolinski

Analysis of Transcriptome Differences between Resistant and Susceptible Strains of the Citrus Red Mite Panonychus citri (Acari: Tetranychidae)

Bin Liu, Gaofei Jiang, [ ... ], Chun Ran

SNPpy - Database Management for SNP Data from Genome Wide Association Studies

Faheem Mitha, Herodotos Herodotou, [ ... ], Kouros Owzar

PanSNPdb: The Pan-Asian SNP Genotyping Database

Chumpol Ngamphiw, Anunchai Assawamakin, [ ... ], and the HUGO Pan-Asian SNP Consortium

A Uniform Genomic Minor Histocompatibility Antigen Typing Methodology and Database Designed to Facilitate Clinical Applications

Eric Spierings, Jos Drabbels, [ ... ], Els Goulmy

HuVarBase: A human variant database with comprehensive information at gene and protein levels

Kaliappan Ganesan, A. Kulandaisamy, S. Binny Priya, M. Michael Gromiha

The Prevalence of Species and Strains in the Human Microbiome: A Resource for Experimental Efforts

Laurens Kraal, Sahar Abubucker, [ ... ], Makedonka Mitreva

Sizing the Problem of Improving Discovery and Access to NIH-Funded Data: A Preliminary Study

Kevin B. Read, Jerry R. Sheehan, [ ... ], NIH Big Data Annotator Group

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