# Heng Li Associate Professor of Biomedical Informatics ![li_heng.jpg](/sites/g/files/omnuum6836/files/styles/hwp_4_5__480x600/public/bigphd/files/li_heng.jpg?itok=X8umTama) location\_on Dana Farber Cancer Institute Dept. of Biostatistics and Computational Biology CLSB 11016, 3 Blackfan Street Boston, MA 02115 smartphone [617-632-3032](tel:617-632-3032) email laptop\_windows [Lab Website](https://hlilab.github.io/) laptop\_windows [Publications](https://pubmed.ncbi.nlm.nih.gov/?term=Li%2C+Heng&sort=date) The general theme of our research is to tackle biological problems with advanced computational and statistical methods. We develop sophisticated algorithms for sequence alignment (e.g. bwa, minimap2 and chromap), sequence assembly (e.g. miniasm, hifiasm and hifiasm-meta) and pangenome analysis (e.g. minigraph). We design widely used formats (e.g. SAM and GFA) and also work on data compression (e.g. ropebwt2 and bgt), population genetics (e.g. PSMC) and single-cell sequencing (e.g. lianti). Some of our tools are essential to the applications of high-throughput sequence data and among the most widely used in the field of bioinformatics. - ## AIM or BIG Faculty [BIG Faculty](/aim-and-big-faculty/big-faculty) - ## Faculty research type [Computational](/faculty-research-type/computational) - ## Methodological Focus [Genome analysis](/methodological-focus/genome-analysis) [Transcriptomics](/methodological-focus/transcriptomics) - ## People [BIG Program Faculty](/people/BIGfaculty) - ## Primary affiliation [HMS (DBMI)/DFCI](/primary-affiliation/dfcidbmi) - ## Research Area [Computational biology, high throughput sequence analysis](/research-area/computational-biology-high-throughput-sequence-analysis)