RT Journal A1 Margulies, Elliott H. A1 Cooper, Gregory M. A1 Asimenos, George A1 Thomas, Daryl J. A1 Dewey, Colin N. A1 Siepel, Adam A1 Birney, Ewan A1 Keefe, Damian A1 Schwartz, Ariel S. A1 Hou, Minmei A1 Taylor, James A1 Nikolaev, Sergey A1 Montoya-Burgos, Juan I. A1 Löytynoja, Ari A1 Whelan, Simon A1 Pardi, Fabio A1 Massingham, Tim A1 Brown, James B. A1 Bickel, Peter A1 Holmes, Ian A1 Mullikin, James C. A1 Ureta-Vidal, Abel A1 Paten, Benedict A1 Stone, Eric A. A1 Rosenbloom, Kate R. A1 Kent, W. James A1 Bouffard, Gerard G. A1 Guan, Xiaobin A1 Hansen, Nancy F. A1 Idol, Jacquelyn R. A1 Maduro, Valerie V.B. A1 Maskeri, Baishali A1 McDowell, Jennifer C. A1 Park, Morgan A1 Thomas, Pamela J. A1 Young, Alice C. A1 Blakesley, Robert W. A1 Muzny, Donna M. A1 Sodergren, Erica A1 Wheeler, David A. A1 Worley, Kim C. A1 Jiang, Huaiyang A1 Weinstock, George M. A1 Gibbs, Richard A. A1 Graves, Tina A1 Fulton, Robert A1 Mardis, Elaine R. A1 Wilson, Richard K. A1 Clamp, Michele A1 Cuff, James A1 Gnerre, Sante A1 Jaffe, David B. A1 Chang, Jean L. A1 Lindblad-Toh, Kerstin A1 Lander, Eric S. A1 Hinrichs, Angie A1 Trumbower, Heather A1 Clawson, Hiram A1 Zweig, Ann A1 Kuhn, Robert M. A1 Barber, Galt A1 Harte, Rachel A1 Karolchik, Donna A1 Field, Matthew A. A1 Moore, Richard A. A1 Matthewson, Carrie A. A1 Schein, Jacqueline E. A1 Marra, Marco A. A1 Antonarakis, Stylianos E. A1 Batzoglou, Serafim A1 Goldman, Nick A1 Hardison, Ross A1 Haussler, David A1 Miller, Webb A1 Pachter, Lior A1 Green, Eric D. A1 Sidow, Arend T1 Analyses of deep mammalian sequence alignments and constraint predictions for 1% of the human genome JF Genome Research JO Genome Research YR 2007 FD June 01 VO 17 IS 6 SP 760 OP 774 DO 10.1101/gr.6034307 UL http://genome.cshlp.org/content/17/6/760.abstract AB A key component of the ongoing ENCODE project involves rigorous comparative sequence analyses for the initially targeted 1% of the human genome. Here, we present orthologous sequence generation, alignment, and evolutionary constraint analyses of 23 mammalian species for all ENCODE targets. Alignments were generated using four different methods; comparisons of these methods reveal large-scale consistency but substantial differences in terms of small genomic rearrangements, sensitivity (sequence coverage), and specificity (alignment accuracy). We describe the quantitative and qualitative trade-offs concomitant with alignment method choice and the levels of technical error that need to be accounted for in applications that require multisequence alignments. Using the generated alignments, we identified constrained regions using three different methods. While the different constraint-detecting methods are in general agreement, there are important discrepancies relating to both the underlying alignments and the specific algorithms. However, by integrating the results across the alignments and constraint-detecting methods, we produced constraint annotations that were found to be robust based on multiple independent measures. Analyses of these annotations illustrate that most classes of experimentally annotated functional elements are enriched for constrained sequences; however, large portions of each class (with the exception of protein-coding sequences) do not overlap constrained regions. The latter elements might not be under primary sequence constraint, might not be constrained across all mammals, or might have expendable molecular functions. Conversely, 40% of the constrained sequences do not overlap any of the functional elements that have been experimentally identified. Together, these findings demonstrate and quantify how many genomic functional elements await basic molecular characterization.