
Improving on the gorilla genome Access to complete, high-quality genomes of nonhuman primates will also help us understand human biology. Gordon et al. used long-read sequencing technology to improve genome data on our close relative the gorilla. Sequencing from a single individual decreased assembly fragmentation and recovered previously missed genes and noncoding loci. Mapping short-read sequences from additional gorillas helped reconstruct a “pan” gorilla sequence documenting genetic variation. Comparison with human genomes revealed species-specific differences ranging in size from one to thousands of bases in length, including some that are likely to affect gene regulation. Science , this issue p. 10.1126/science.aae0344
570, Evolution, General Science & Technology, 1.1 Normal biological development and functioning, Bioinformatics and Computational Biology, Evolution, Molecular, Contig Mapping, 616, Genetics, Animals, Humans, Expressed Sequence Tags, Genome, Gorilla gorilla, Genome, Human, Human Genome, Molecular, Genetic Variation, DNA, Genomics, Sequence Analysis, DNA, Biological Sciences, Female, Generic health relevance, Sequence Analysis, Sequence Alignment, Biotechnology, Human
570, Evolution, General Science & Technology, 1.1 Normal biological development and functioning, Bioinformatics and Computational Biology, Evolution, Molecular, Contig Mapping, 616, Genetics, Animals, Humans, Expressed Sequence Tags, Genome, Gorilla gorilla, Genome, Human, Human Genome, Molecular, Genetic Variation, DNA, Genomics, Sequence Analysis, DNA, Biological Sciences, Female, Generic health relevance, Sequence Analysis, Sequence Alignment, Biotechnology, Human
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 321 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
