Many of our projects are available via the Novembre Lab Github Page. Here are some of our software projects:
A web-based tool for visualizing the geographic distribution of variants in several published datasets.
A flexible forward-in-time simulator, developed by PhD student Darren Kessner.
Maximum likelihood estimation of frequencies of known haplotypes from pooled sequence data, developed by PhD student Darren Kessner.
Software for recombination rate inference using ancestry switch points in admixed individuals, developed by former postdoc Daniel Wegmann.
Software for ancestry inference in population genetic data developed by former UCLA PhD student David Alexander.
An R-package for spatial assignment using genetic and isotopic data, developed by former PhD student Colin Rundel, and based in part on the SCAT software from Matthew Stephens.
A program written with Eric Anderson (when we were both at Berkeley) that partitions a chromosomal segment into haplotype blocks using biallelic, phased haplotype data.
A program that calculates a codon usage bias summary statistic, Nc’. It is based on the effective number of codons statistic Nc (or ENC) developed by Frank Wright, but improves upon it by accounting for background nucleotide composition.
Resources related to Novembre et al 2008: Several files that aid in recreating the main figure from our paper:“Genes Mirror Geography in Europe” (Nature 956:98-101). Also the Geography of Genetic Variants Browser plots allele frequencies for the European subset of the data.
African-American/African-Caribbean recombination maps: Recombination maps inferred from a sample of 2565 African Americans and 299 African Caribbeans. From our paper: Wegmann et al (2011) Nature Genetics 43:847-53.
Resources for Freedman et al 2014: Fastq files are available via SRA. Auxiliary files such as vcf/bams are available via an sftp server. Please email – jnovembre at uchicago dot edu – for user and password.