Computational comparison of human genomic sequence assemblies for a region of chromosome 4.
Much of the available human genomic sequence data exist in a fragmentary draft state following the completion of the initial high-volume sequencing performed by the International Human Genome Sequencing Consortium (IHGSC) and Celera Genomics (CG). We compared six draft genome assemblies over a region of chromosome 4p (D4S394-D4S403), two consecutive releases by the IHGSC at University of California, Santa Cruz (UCSC), two consecutive releases from the National Centre for Biotechnology Information (NCBI), the public release from CG, and a hybrid assembly we have produced using IHGSC and CG sequence data. This region presents particular problems for genomic sequence assembly algorithms as it contains a large tandem repeat and is sparsely covered by draft sequences. The six assemblies differed both in terms of their relative coverage of sequence data from the region and in their estimated rates of misassembly. The CG assembly method attained the lowest level of misassembly, whereas NCBI and UCSC assemblies had the highest levels of coverage. All assemblies examined included <60% of the publicly available sequence from the region. At least 6% of the sequence data within the CG assembly for the D4S394-D4S403 region was not present in publicly available sequence data. We also show that even in a problematic region, existing software tools can be used with high-quality mapping data to produce genomic sequence contigs with a low rate of rearrangements.
Semple
Colin A M
CA
Medical Genetics Section, Department of Medical Sciences, The University of Edinburgh, Molecular Medicine Centre, Western General Hospital, Edinburgh EH4 2XU, Scotland, United Kingdom. Colin.Semple@ed.ac.uk
Morris
Stewart W
SW
Porteous
David J
DJ
Evans
Kathryn L
KL
D002894:Chromosomes, Human, Pair 4 / Q000235:genetics*; D019295:Computational Biology / Q000379:methods*; D020451:Contig Mapping / Q000379:methods*; D005819:Genetic Markers / Q000235:genetics; D016045:Human Genome Project; D006801:Humans
D005819:Genetic Markers