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<title lang=en>The bioinformatics tool box for reproductive biology.</title>
<creator>Primig, Michael</creator>
<contributor>Transcriptional networks in gametogenesis and cancer ; Institut de recherche, santé, environnement et travail [Rennes] (Irset) ; Université d'Angers (UA) - Université des Antilles et de la Guyane (UAG) - Université de Rennes 1 (UR1) - École des Hautes Études en Santé Publique [EHESP] (EHESP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ) - Université d'Angers (UA) - Université des Antilles et de la Guyane (UAG) - Université de Rennes 1 (UR1) - École des Hautes Études en Santé Publique [EHESP] (EHESP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )</contributor>
<contributor>Inserm Avenir grant R07216NS; an ARC grant No. 7985</contributor>
<description>International audience</description>
<source>ISSN: 0006-3002</source>
<source>BBA - Biochimica et Biophysica Acta</source>
<publisher>Elsevier</publisher>
<identifier>hal-00877444</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00877444</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00877444</source>
<source>BBA - Biochimica et Biophysica Acta, Elsevier, 2012, 1822 (12), pp.1880-95. 〈10.1016/j.bbadis.2012.05.018〉</source>
<identifier>DOI : 10.1016/j.bbadis.2012.05.018</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.bbadis.2012.05.018</relation>
<identifier>PUBMED : 22687534</identifier>
<relation>info:eu-repo/semantics/altIdentifier/pmid/22687534</relation>
<language>en</language>
<subject lang=en>Bioinformatics</subject>
<subject lang=en>Database</subject>
<subject lang=en>Reproductive genomics</subject>
<subject lang=en>Gametogenesis</subject>
<subject lang=en>Gene prioritization</subject>
<subject>[SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Genetics and molecular biology have been instrumental for a better understanding of heritable defects causing human infertility over the past decades. More recently, the field of reproductive biology has harnessed genome biological approaches to gain insight into molecular processes underlying normal and pathological gametogenesis and gamete function. We are currently witnessing yet another quantum leap in our ability to monitor the flow of information from the genome via the transcriptome to the proteome: tiling arrays that cover both strands of a given target genome and RNA-Seq, a method based on ultra-high throughput DNA sequencing, enable us to study noncoding and protein-coding transcripts with unprecedented precision and depth at a reasonable cost. These technologies have spawned a thriving discipline within the bioinformatics field that employs information technology for managing and interpreting biological high-throughput data. This review outlines database projects and online analysis tools useful for life scientists in general and discusses in detail selected projects that have specifically been developed for researchers and clinicians in the field of reproductive biology. This article is part of a Special Issue entitled: Molecular Genetics of Human Reproductive Failure.</description>
<date>2012-12</date>
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