Skip to main navigation
Skip to search
Skip to main content
Johns Hopkins University Home
Home
Profiles
Research units
Research output
Search by expertise, name or affiliation
SkewIT: The Skew Index Test for large-scale GC Skew analysis of bacterial genomes
Jennifer Lu,
Steven L. Salzberg
School of Medicine
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'SkewIT: The Skew Index Test for large-scale GC Skew analysis of bacterial genomes'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Genome
81%
Skew
67%
Metric
21%
Calculate
16%
Repository
15%
Phylogenetics
13%
Demonstrate
12%
Chromosome
12%
Replication
11%
Libraries
11%
Outlier
10%
Proportion
9%
Medicine & Life Sciences
Bacterial Genomes
100%
Cytosine Nucleotides
25%
Genome
20%
Firmicutes
20%
Actinobacteria
18%
Guanine Nucleotides
18%
Libraries
13%
Chromosomes
11%
Earth & Environmental Sciences
genome
70%
index
37%
test
29%
analysis
19%
index method
12%
chromosome
11%
outlier
10%
repository
10%
library
9%
phylogenetics
8%
Agriculture & Biology
genome
41%
testing
29%
guanine nucleotides
13%
Firmicutes
12%
cytosine
11%
Actinobacteria
10%
nucleotides
7%
chromosomes
6%
phylogeny
6%
methodology
2%
Engineering & Materials Science
Genomics
77%
Application programs
19%
Nucleotides
13%
Chromosomes
12%