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Genomic data are typically presented in literature and scientific meetings in the form of genetic maps, as they permit gene contents and organization, information density and genome rearrangements to be visualized and features across different genomes to be compared with ease. However, preparing high-quality genetic maps is a time-consuming and tedious process. This is particularly true for genomes which consist of heavy clusters of closely spaced coding regions or introns, as their corresponding genetic labels tend to overlap severely. The conventional approach often requires using an interactive graphic package to construct each label painstakingly and to assign standardized attributes to …
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Genomic data are typically presented in literature and scientific meetings in the form of genetic maps, as they permit gene contents and organization, information density and genome rearrangements to be visualized and features across different genomes to be compared with ease. However, preparing high-quality genetic maps is a time-consuming and tedious process. This is particularly true for genomes which consist of heavy clusters of closely spaced coding regions or introns, as their corresponding genetic labels tend to overlap severely. The conventional approach often requires using an interactive graphic package to construct each label painstakingly and to assign standardized attributes to …
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Genomic data are typically presented in literature and scientific meetings in the form of genetic maps, as they permit gene contents and organization, information density and genome rearrangements to be visualized and features across different genomes to be compared with ease. However, preparing high-quality genetic maps is a time-consuming and tedious process. This is particularly true for genomes which consist of heavy clusters of closely spaced coding regions or introns, as their corresponding genetic labels tend to overlap severely. The conventional approach often requires using an interactive graphic package to construct each label painstakingly and to assign standardized attributes to …
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Genomic data are typically presented in literature and scientific meetings in the form of genetic maps, as they permit gene contents and organization, information density and genome rearrangements to be visualized and features across different genomes to be compared with ease. However, preparing high-quality genetic maps is a time-consuming and tedious process. This is particularly true for genomes which consist of heavy clusters of closely spaced coding regions or introns, as their corresponding genetic labels tend to overlap severely. The conventional approach often requires using an interactive graphic package to construct each label painstakingly and to assign standardized attributes to …
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Genomic data are typically presented in literature and scientific meetings in the form of genetic maps, as they permit gene contents and organization, information density and genome rearrangements to be visualized and features across different genomes to be compared with ease. However, preparing high-quality genetic maps is a time-consuming and tedious process. This is particularly true for genomes which consist of heavy clusters of closely spaced coding regions or introns, as their corresponding genetic labels tend to overlap severely. The conventional approach often requires using an interactive graphic package to construct each label painstakingly and to assign standardized attributes to …
