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      The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals

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          Abstract

          Bgee is a database to retrieve and compare gene expression patterns in multiple animal species, produced by integrating multiple data types (RNA-Seq, Affymetrix, in situ hybridization, and EST data). It is based exclusively on curated healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of normal gene expression. Curation includes very large datasets such as GTEx (re-annotation of samples as ‘healthy’ or not) as well as many small ones. Data are integrated and made comparable between species thanks to consistent data annotation and processing, and to calls of presence/absence of expression, along with expression scores. As a result, Bgee is capable of detecting the conditions of expression of any single gene, accommodating any data type and species. Bgee provides several tools for analyses, allowing, e.g., automated comparisons of gene expression patterns within and between species, retrieval of the prefered conditions of expression of any gene, or enrichment analyses of conditions with expression of sets of genes. Bgee release 14.1 includes 29 animal species, and is available at https://bgee.org/ and through its Bioconductor R package BgeeDB.

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Basic local alignment search tool.

            A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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              Near-optimal probabilistic RNA-seq quantification.

              We present kallisto, an RNA-seq quantification program that is two orders of magnitude faster than previous approaches and achieves similar accuracy. Kallisto pseudoaligns reads to a reference, producing a list of transcripts that are compatible with each read while avoiding alignment of individual bases. We use kallisto to analyze 30 million unaligned paired-end RNA-seq reads in <10 min on a standard laptop computer. This removes a major computational bottleneck in RNA-seq analysis.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 January 2021
                10 October 2020
                10 October 2020
                : 49
                : D1
                : D831-D847
                Affiliations
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Department of Ecology and Evolution, University of Lausanne , 1015 Lausanne, Switzerland
                SIB Swiss Institute of Bioinformatics , 1015 Lausanne, Switzerland
                Author notes
                To whom correspondence should be addressed. Email: frederic.bastian@ 123456unil.ch
                Correspondence may also be addressed to Marc Robinson-Rechavi. Tel: +41 692 4220; Fax: +41 21 692 4165; Email: bgee@ 123456sib.swiss
                Author information
                http://orcid.org/0000-0002-9415-5104
                http://orcid.org/0000-0002-4192-5099
                http://orcid.org/0000-0003-3308-6245
                http://orcid.org/0000-0001-7794-7997
                http://orcid.org/0000-0002-3175-5372
                http://orcid.org/0000-0003-3947-488X
                http://orcid.org/0000-0002-3020-1490
                http://orcid.org/0000-0001-9123-1880
                http://orcid.org/0000-0002-3099-3117
                http://orcid.org/0000-0003-3571-5420
                http://orcid.org/0000-0003-4831-8408
                http://orcid.org/0000-0002-1661-7254
                http://orcid.org/0000-0003-2047-0897
                http://orcid.org/0000-0003-1601-8945
                http://orcid.org/0000-0002-3810-2091
                http://orcid.org/0000-0002-5259-1434
                http://orcid.org/0000-0003-3248-011X
                http://orcid.org/0000-0002-3437-3329
                Article
                gkaa793
                10.1093/nar/gkaa793
                7778977
                33037820
                0ba0a90a-0656-4320-84a7-7d3433aaf5a9
                © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 September 2020
                : 24 August 2020
                : 14 July 2020
                Page count
                Pages: 17
                Funding
                Funded by: Swiss Institute of Bioinformatics;
                Funded by: Canton de Vaud;
                Funded by: Swiss National Science Foundation, DOI 10.13039/501100001711;
                Award ID: 31003A_173048
                Award ID: 31003A_153341
                Award ID: 31003A_133011
                Award ID: CRSII3_160723
                Award ID: 407540_167149
                Funded by: NIH, DOI 10.13039/100000002;
                Award ID: U01CA215010
                Funded by: Horizon 2020, DOI 10.13039/100010661;
                Award ID: 863410
                Categories
                AcademicSubjects/SCI00010
                Database Issue

                Genetics
                Genetics

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