Goat is an important source of milk, meat, and fiber, especially in developing countries. An advantage of goats as livestock is the low maintenance requirements and high adaptability compared to other milk producers. The global population of domestic goats exceeds 800 million. In Africa, goat production is characterized by low productivity levels, and attempts to introduce more productive breeds have met with poor success due in part to nutritional constraints. It has been suggested that incorporation of selective breeding within the herds adapted for survival could represent one approach to improving food security across Africa. A recently produced genome assembly of a Chinese Yunnan breed goat, based on 192 Gb of short reads across a range of insert sizes from 180 bp to 20 kb, reported a contig N50 of 18.7 kb. The scaffold N50 was improved from 2.2 Mb to 3.1 Mb by addition of fosmid end sequence, with an estimated 140 million Ns in gaps and 91% coverage. The assembly has proven somewhat problematic for pursuing genome-wide association analysis with SNP arrays, apparently due in part to errors in ordering of markers using the draft genome. In order to provide a higher quality assembly, we sequenced a highly inbred, San Clemente breed goat genome using 458 SMRT cells on the Pacific Biosciences platform. These cells generated 193.5 Gbases of sequence after processing into subreads, with mean 5110 bases and max subread length of 40.5 kb. This sequence data generated an assembly using the recently reported MHAP error correction approach and Celera Assembler v8.2. The contig N50 was 2.5 Mb, with the largest contig spanning 19.5 Mb. Additional characteristics of the assembly will be presented.