Heikki Lehvaslaiho

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Ensembl (http://www.ensembl.org/) is a bioinformatics project to organize biological information around the sequences of large genomes. It is a comprehensive source of stable automatic annotation of individual genomes, and of the synteny and orthology relationships between them. It is also a framework for integration of any biological data that can be(More)
Expert curation and complete collection of mutations in genes that affect human health is essential for proper genetic healthcare and research. Expert curation is given by the curators of gene-specific mutation databases or locus-specific databases (LSDBs). While there are over 700 such databases, they vary in their content, completeness, time available for(More)
Two clones of NIH3T3 fibroblasts, NEN37 and NEN7, overexpressing chimeric EGF/neu receptors (3 x 10(5) and 1 x 10(6) receptors/cell, respectively), were treated with EGF in order to identify the array of intracellular signals generated after activation of the neu proto-oncogene product. The results thus obtained were correlated with the effects of EGF on(More)
Torrents of genotype-phenotype data are being generated, all of which must be captured, processed, integrated, and exploited. To do this optimally requires the use of standard and interoperable "object models," providing a description of how to partition the total spectrum of information being dealt with into elemental "objects" (such as "alleles,"(More)
Researchers and clinicians ideally need instant access to all the variation in their gene/locus of interest to efficiently conduct their research and genetic healthcare to the highest standards. Currently much key data resides in the laboratory books or patient records around the world, as there are many impediments to submitting this data. It would be(More)
Metagenomics-based functional profiling analysis is an effective means of gaining deeper insight into the composition of marine microbial populations and developing a better understanding of the interplay between the functional genome content of microbial communities and abiotic factors. Here we present a comprehensive analysis of 24 datasets covering(More)
Toshiaki Katayama, Kazuharu Arakawa, Mitsuteru Nakao, Keiichiro Ono, Kiyoko F Aoki-Kinoshita, Yasunori Yamamoto, Atsuko Yamaguchi, Shuichi Kawashima, Hong-Woo Chun, Jan Aerts, Bruno Aranda, Lord Hendrix Barboza, Raoul JP Bonnal, Richard Bruskiewich, Jan C Bryne, José M Fernández, Akira Funahashi, Paul MK Gordon, Naohisa Goto, Andreas Groscurth, Alex(More)
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