Changeset 5844 for trunk/doc/src/docbook/overview
- Timestamp:
- Nov 1, 2011, 5:05:58 PM (12 years ago)
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trunk/doc/src/docbook/overview/why_base.xml
r5782 r5844 6 6 $Id$ 7 7 8 Copyright (C) 2007 Martin Svensson 8 Copyright (C) 2007 Martin Svensson, Jari Häkkinen 9 Copyright (C) 2008 Jari Häkkinen 10 Copyright (C) 2011 Jari Häkkinen, Nicklas Nordborg 9 11 10 12 This file is part of BASE - BioArray Software Environment. … … 18 20 BASE is distributed in the hope that it will be useful, 19 21 but WITHOUT ANY WARRANTY; without even the implied warranty of 20 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. 22 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 21 23 GNU General Public License for more details. 22 24 … … 28 30 <?dbhtml filename="why_base.html"?> 29 31 <title>Why use BASE</title> 30 <sect1 id="nolabelhereyet"> 31 <title></title> 32 <para></para> 33 </sect1> 32 33 <para> 34 BASE was initially developed to manage array-based data but is now 35 extended to support storage and analysis of sequencing data. The 36 first sequencing application is RNAseq. 37 </para> 38 39 <para> 40 We outline two different uses of BASE to give a flavour why you 41 should consider to use BASE. The first example describes a 42 research project involving sequencing based gene expression 43 analysis and the second example describes a microarray service 44 facility use of BASE. 45 </para> 46 47 <sect1 id="whybase.scanb"> 48 <title>Case I: The SCAN-B BASE installation at Department of 49 Oncology, Lund University</title> 50 51 <para> 52 <ulink 53 url='http://www.med.lu.se/english/klinvetlund/canceromics/consortia/scan_b'>SCAN-B</ulink> 54 is a project and network of researchers and clinicians that was 55 initialised in the fall 2009. The project is centred on a 56 prospective study where all new breast cancer patients in 57 southern Sweden are asked to enrol. Within the covered region 58 approximately 1500 patients are diagnosed with breast cancer 59 annually. The overall aim is to continuously collect and analyse 60 the consecutive, population-based, breast cancer 61 cohort. Analyses include generation of gene expression and 62 sequencing data with the ultimate goal to build an 63 infrastructure for future real-time clinical implementation. 64 </para> 65 66 <para> 67 SCAN-B uses BASE to store and manage all information related to 68 enrolled patients and collected sample material including 69 clinical information and experimental data. Analysis and 70 execution of standard analysis pipelines for sequencing data 71 will be performed through BASE. 72 </para> 73 74 <para> 75 The SCAN-B BASE installation consists of three main parts; 76 first, the hardware on which the system runs; secondly, the BASE 77 software and database, as well as configured analysis plugins; 78 thirdly, an external file system for storage of sequencing data 79 that are referenced from BASE. In addition, maintenance of the 80 hardware and configured database/software is required. The 81 server hardware comprises one main computer and raided hard 82 drive system. It also includes a backup solution configured to 83 backup the entire database 2 times per week. Computational nodes 84 are connected to the main computer and used to run configured 85 analysis plugins in a seamless integrated fashion. Maintenance 86 includes managing the backup-schedule, updating the main BASE 87 software, developing, configuring, and maintaining analysis 88 plugins, and maintaining the underlying database and external 89 storage file systems. 90 </para> 91 92 <para> 93 Whereas the BASE software itself is freely available to anyone, 94 a particular BASE installation at a research site is in general 95 not freely accessible. Although BASE can be downloaded and 96 installed on a regular of-the-shelf personal computer with 97 relative ease by anyone, considerable effort and costs are 98 associated with maintaining a BASE installation of the size and 99 scope of the SCAN-B BASE installation. A pristine BASE 100 installation includes generic features and functionality to 101 support a framework of procedures to manage data collection in 102 large projects. Within SCAN-B large effort is spent on defining 103 the required procedures where laboratory work is mirrored in 104 BASE. This implies interplay with adopting the BASE software 105 (the <ulink 106 url='http://baseplugins.thep.lu.se/wiki/net.sf.basedb.reggie'>Reggie 107 extension</ulink> is an example of adaptation on BASE to 108 specific needs in SCAN-B) and the laboratory work to achieve 109 efficient data collection. To achieve high quality data 110 production, measures for continuous quality assurance and 111 collection of data associated with patients, samples, and 112 laboratory processing must also be implemented. 113 </para> 114 115 </sect1> 116 117 118 <sect1 id="whybase.sciblu"> 119 <title>Case II: The BASE installation at SCIBLU, Department of 120 Oncology, Lund University</title> 121 122 <para> 123 In the spring of 2004, Lund University created Swegene Centre 124 for Integrative Biology at Lund University (<ulink 125 href='http://www.lth.se/sciblu'>SCIBLU</ulink>), which comprise 126 the merger of five of the most successful Swegene resource and 127 development platforms into one unit, located in the Lund 128 University Biomedical Centre (BMC). SCIBLU offers integrated 129 service within the main -omics areas. The DNA microarray 130 technology within SCIBLU was initially established in 2000 as a 131 cancer research resource at the department of Oncology and in 132 conjunction with this the development of BASE was initiated. 133 </para> 134 135 <para> 136 At SCIBLU a BASE installation is maintained and used as a 137 production installation that manages information surrounding 138 array fabrication (array LIMS) as well as array data generated 139 by the SCIBLU provided services. This particular BASE 140 installation was initially set up in 2003 and to date manage 141 array data from more than 13 000 hybridisation covering a 142 variety of technical platforms such as cDNA, oligo, and BeadChip 143 expression arrays, as well as BAC and oligo aCGH arrays. 144 </para> 145 146 <para> 147 The SCIBLU BASE installation consists of two main parts; first, 148 the hardware on which the system runs; secondly, the BASE 149 software and database, as well as configured analysis plugins. 150 Regular maintenance of the hardware and configured 151 database/software is also required. The hardware comprises one 152 main computer and raided hard drive system. It also includes a 153 backup solution configured to backup the entire database 2 times 154 per week. Finally, the hardware includes 2 computational servers 155 connected to the main computer and used to run configured 156 analysis plugins in a seamless integrated fashion. The software 157 used for the SCIBLU BASE installation is freely available from 158 the BASE project site. Maintenance include managing the 159 backup-schedule, updating the main BASE software, updating and 160 managing probe annotations, management of user accounts, 161 configuring and maintaining analysis plugins, and maintaining 162 the underlying database. 163 </para> 164 165 <para> 166 Users of the microarray services offered by SCIBLU, e.g., 167 expression analysis or aCGH, are provided access to the SCIBLU 168 production BASE installation as part of the included 169 services. The access comprises user account, access to array 170 LIMS (when in-house produced arrays are utilised), and hard 171 drive space to cover space needed for storing the data generated 172 through the SCIBLU provided service. Additional disk space can 173 be acquired and is associated with an additional cost for the 174 user. Examples of when additional disk space is needed include 175 scenarios where users want to perform extensive data analysis 176 within BASE and decide to store the analysis results within 177 BASE, e.g., many parallel analysis branches or extensive 178 generation of data plots and figures. Other examples include 179 when users want to import data from third party providers 180 (public data repositories or alternative array data providers) 181 to perform meta-analysis with their data generated within 182 SCIBLU. 183 </para> 184 185 </sect1> 186 34 187 </chapter>
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