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    Active Motif is dedicated to developing and delivering biocomputing hardware for the life sciences and to provide cell and molecular biology-based research tools for epigenetics. The company applies a multi-disciplinary approach to create and modify new and existing technologies to meet the current and future needs of life science researchers. Active Motif intends for its products to help scientists discover, decipher and understand the complexity of cellular function.

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ActiveMotif

Metagenomics and Genome Annotation Applications

  1. Genome-Based Analysis of Chlamydomonas reinhadtii Exoribonucleases and Poly(A) Polymerases Predicts Unexpected Organellar and Exosomal Features. Sara L. Zimmer, Zhangjun Fei, and David B. Stern. Genetics, May 2008; 179: 125 - 136.
  2. The Songbird Neurogenomics (SoNG) Initiative: community-based tools and strategies for study of brain gene function and evolution. Kirstin L Replogle , Arthur P Arnold , Gregory F Ball , Mark Band , Staffan Bensch , Eliot A Brenowitz , Shu Dong , Jenny Drnevich , Margaret Ferris , Julia M George , George Gong , Dennis Hasselquist , Alvaro G Hernandez , Ryan Kim , Harris A Lewin , Lei Liu , Peter V Lovell , Claudio V Mello , Sara Naurin , Sandra Rodriguez-Zas , Jyothi Thimmapuram , Juli Wade and David F Clayton, BMC Genomics 2008 | Published: 18 March 2008
  3. Computational prediction and experimental validation of Ciona intestinalis microRNA genes. Norden-Krichmar TM, Holtz J, Pasquinelli AE, Gaasterland T, BMC Genomics 2007, 8:445 (29 November 2007)
Published Thursday, August 07, 2008 4:44 PM by ActiveMotif
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About ActiveMotif

Active Motif is dedicated to developing and delivering biocomputing hardware for the life sciences and to provide cell and molecular biology-based research tools for epigenetics. The company applies a multi-disciplinary approach to create and modify new and existing technologies to meet the current and future needs of life science researchers. Active Motif intends for its products to help scientists discover, decipher and understand the complexity of cellular function.