000			03651nab a22004697a 4500
001			G81121
003			MX-TxCIM
005			20230921184207.0
008			210727s2004 ne |||p|op||| 00| 0 eng d
022			_a 0167-4412
022			_a1573-5028 (Online)
024	8		_ahttps://doi.org/10.1007/s11103-004-4950-0
040			_aMX-TxCIM
041			_aeng
072		0	_aA50
072		0	_aF30
090			_aCIS-4265
100	1		_aSawkins, M. C. _96567
245	1	0	_aComparative map and trait viewer (CMTV) : _ban integrated bioimformatic tool to construct consensus maps and compare QTL and functional genomics data across genomes and experiments
260			_aDordrecht (Netherlands) : _bSpringer, _c2004.
340			_aComputer File
500			_aPeer review
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0167-4412
520			_aIn the past few decades, a wealth of genomic data has been produced in a wide variety of species using a diverse array of functional and molecular marker approaches. In order to unlock the full potential of the information contained in these independent experiments, researchers need efficient and intuitive means to identify common genomic regions and genes involved in the expression of target phenotypic traits across diverse conditions. To address this need, we have developed a Comparative Map and Trait Viewer (CMTV) tool that can be used to construct dynamic aggregations of a variety of types of genomic datasets. By algorithmically determining correspondences between sets of objects on multiple genomic maps, the CMTV can display syntenic regions across taxa, combine maps from separate experiments into a consensus map, or project data from different maps into a common coordinate framework using dynamic coordinate translations between source and target maps. We present a case study that illustrates the utility of the tool for managing large and varied datasets by integrating data collected by CIMMYT in maize drought tolerance research with data from public sources. This example will focus on one of the visualization features for Quantitative Trait Locus (QTL) data, using likelihood ratio (LR) files produced by generic QTL analysis software and displaying the data in a unique visual manner across different combinations of traits, environments and crosses. Once a genomic region of interest has been identified, the CMTV can search and display additional QTLs meeting a particular threshold for that region, or other functional data such as sets of differentially expressed genes located in the region; it thus provides an easily used means for organizing and manipulating data sets that have been dynamically integrated under the focus of the researcher’s specific hypothesis.
536			_aGeneration Challenge Program
546			_aText in English
591			_a0501|AL-ABC Program
594			_aINT1991
650		7	_aGenes _2AGROVOC _93563
650		7	_aBioinformatics _2AGROVOC _98703
650		7	_aMarker-assisted selection _2AGROVOC _910737
650		7	_aQuantitative Trait Loci _2AGROVOC _91853
700	1		_aFarmer, A.D. _921654
700	1		_aHoisington, D. _93643
700	1		_aSullivan, J. _921655
700	1		_aTolopko, A. _921656
700	0		_aZhikai Jiang _918308
700	1		_9835 _aRibaut, J.M. _gIntegrated Breeding Platform _8INT1991
773	0		_tPlant Molecular Biology _n630552 _gv. 56, no. 3, p. 465-480 _dDordrecht (Netherlands) : Springer, 2004. _wG445698 _x0167-4412
856	4		_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/320
942			_cJA _2ddc _n0
999			_c25242 _d25242