Literature DB >> 19297685

The Sequence Analysis and Management System -- SAMS-2.0: data management and sequence analysis adapted to changing requirements from traditional sanger sequencing to ultrafast sequencing technologies.

Thomas Bekel1, Kolja Henckel, Helge Küster, Folker Meyer, Virginie Mittard Runte, Heiko Neuweger, Daniel Paarmann, Oliver Rupp, Martha Zakrzewski, Alfred Pühler, Jens Stoye, Alexander Goesmann.   

Abstract

DNA sequencing plays a more and more important role in various fields of genetics. This includes sequencing of whole genomes, libraries of cDNA clones and probes of metagenome communities. The applied sequencing technologies evolve permanently. With the emergence of ultrafast sequencing technologies, a new era of DNA sequencing has recently started. Concurrently, the needs for adapted bioinformatics tools arise. Since the ability to process current datasets efficiently is essential for modern genetics, a modular bioinformatics platform providing extensive sequence analysis methods, is designated to achieve well the constantly growing requirements. The Sequence Analysis and Management System (SAMS) is a bioinformatics software platform with a database backend designed to support the computational analysis of (1) whole genome shotgun (WGS) bacterial genome sequencing, (2) cDNA sequencing by reading expressed sequence tags (ESTs) as well as (3) sequence data obtained by ultrafast sequencing. It provides extensive bioinformatics analysis of sequenced single reads, sequencing libraries and fragments of arbitrary DNA sequences such as assembled contigs of metagenome reads for instance. The system has been implemented to cope with several thousands of sequences, efficiently processing them and storing the results for further analysis. With the project setup, SAMS automatically recognizes the data type.

Entities:  

Mesh:

Year:  2009        PMID: 19297685     DOI: 10.1016/j.jbiotec.2009.01.006

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  15 in total

1.  Laser microdissection unravels cell-type-specific transcription in arbuscular mycorrhizal roots, including CAAT-box transcription factor gene expression correlating with fungal contact and spread.

Authors:  Claudia Hogekamp; Damaris Arndt; Patrícia A Pereira; Jörg D Becker; Natalija Hohnjec; Helge Küster
Journal:  Plant Physiol       Date:  2011-10-27       Impact factor: 8.340

2.  Trace2PS and FSA2PS: two software toolkits for converting trace and fsa files to PostScript format.

Authors:  Justina Krawczyk; Alexander Goesmann; Ralf Nolte; Martin Werber; Bernd Weisshaar
Journal:  Source Code Biol Med       Date:  2009-07-21

3.  Transcriptome sequencing and comparative transcriptome analysis of the scleroglucan producer Sclerotium rolfsii.

Authors:  Jochen Schmid; Dirk Müller-Hagen; Thomas Bekel; Laura Funk; Ulf Stahl; Volker Sieber; Vera Meyer
Journal:  BMC Genomics       Date:  2010-05-26       Impact factor: 3.969

4.  MediPlEx - a tool to combine in silico & experimental gene expression profiles of the model legume Medicago truncatula.

Authors:  Kolja Henckel; Helge Küster; Leonhard J Stutz; Alexander Goesmann
Journal:  BMC Res Notes       Date:  2010-10-19

5.  TRUNCATULIX--a data warehouse for the legume community.

Authors:  Kolja Henckel; Kai J Runte; Thomas Bekel; Michael Dondrup; Tobias Jakobi; Helge Küster; Alexander Goesmann
Journal:  BMC Plant Biol       Date:  2009-02-11       Impact factor: 4.215

6.  Development of a Rhizoctonia solani AG1-IB Specific Gene Model Enables Comparative Genome Analyses between Phytopathogenic R. solani AG1-IA, AG1-IB, AG3 and AG8 Isolates.

Authors:  Daniel Wibberg; Oliver Rupp; Jochen Blom; Lukas Jelonek; Magdalena Kröber; Bart Verwaaijen; Alexander Goesmann; Stefan Albaum; Rita Grosch; Alfred Pühler; Andreas Schlüter
Journal:  PLoS One       Date:  2015-12-21       Impact factor: 3.240

7.  Metadata management and semantics in microarray repositories.

Authors:  F Kocabaş; T Can; N Baykal
Journal:  Balkan J Med Genet       Date:  2011-12       Impact factor: 0.519

8.  EMMA 2--a MAGE-compliant system for the collaborative analysis and integration of microarray data.

Authors:  Michael Dondrup; Stefan P Albaum; Thasso Griebel; Kolja Henckel; Sebastian Jünemann; Tim Kahlke; Christiane K Kleindt; Helge Küster; Burkhard Linke; Dominik Mertens; Virginie Mittard-Runte; Heiko Neuweger; Kai J Runte; Andreas Tauch; Felix Tille; Alfred Pühler; Alexander Goesmann
Journal:  BMC Bioinformatics       Date:  2009-02-06       Impact factor: 3.169

9.  Construction of an adult barnacle (Balanus amphitrite) cDNA library and selection of reference genes for quantitative RT-PCR studies.

Authors:  Tristano Bacchetti De Gregoris; Marco Borra; Elio Biffali; Thomas Bekel; J Grant Burgess; Richard R Kirby; Anthony S Clare
Journal:  BMC Mol Biol       Date:  2009-06-24       Impact factor: 2.946

10.  A roadmap of cell-type specific gene expression during sequential stages of the arbuscular mycorrhiza symbiosis.

Authors:  Claudia Hogekamp; Helge Küster
Journal:  BMC Genomics       Date:  2013-05-07       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.