The Gerstein lab has made it a priority to develop its cutting edge algorithms into tools in the form of downloadable programs, webservers, and databases. These tools are the heart of our work in transforming the big data of genomes into knowledge. For a full list of tools, with links to download, see the lab tools page. The source code of many of our tools in avalable on our lab Github page

Spatially Exploring RNA Biology in Archival Formalin-Fixed Paraffin-Embedded Tissues
Z Bai, D Zhang, Y Gao, B Tao, D Zhang, S Bao, A Enninful, Y Wang, H Li, G Su, X Tian, N Zhang, Y Xiao, Y Liu, M Gerstein, M Li, Y Xing, J Lu, ML Xu, R Fan (2024). Cell 187: 6760-6779e24.

IQSeq: integrated isoform quantification analysis based on next-generation sequencing.
J Du, J Leng, L Habegger, A Sboner, D McDermott, M Gerstein (2012). PLoS One 7: e29175.

Performance comparison of whole-genome sequencing platforms.
HY Lam, MJ Clark, R Chen, R Chen, G Natsoulis, M O'Huallachain, FE Dewey, L Habegger, EA Ashley, MB Gerstein, AJ Butte, HP Ji, M Snyder (2011). Nat Biotechnol 30: 78-82.

AlleleSeq: analysis of allele-specific expression and binding in a network framework.
J Rozowsky, A Abyzov, J Wang, P Alves, D Raha, A Harmanci, J Leng, R Bjornson, Y Kong, N Kitabayashi, N Bhardwaj, M Rubin, M Snyder, M Gerstein (2011). Mol Syst Biol 7: 522.

Identification of genomic indels and structural variations using split reads.
ZD Zhang, J Du, H Lam, A Abyzov, AE Urban, M Snyder, M Gerstein (2011). BMC Genomics 12: 375.

Analysis of genomic variation in non-coding elements using population-scale sequencing data from the 1000 Genomes Project.
XJ Mu, ZJ Lu, Y Kong, HY Lam, MB Gerstein (2011). Nucleic Acids Res 39: 7058-76.

ACT: aggregation and correlation toolbox for analyses of genome tracks.
J Jee, J Rozowsky, KY Yip, L Lochovsky, R Bjornson, G Zhong, Z Zhang, Y Fu, J Wang, Z Weng, M Gerstein (2011). Bioinformatics 27: 1152-4.

CNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing.
A Abyzov, AE Urban, M Snyder, M Gerstein (2011). Genome Res 21: 974-84.

AGE: defining breakpoints of genomic structural variants at single-nucleotide resolution, through optimal alignments with gap excision.
A Abyzov, M Gerstein (2011). Bioinformatics 27: 595-603.

Prediction and characterization of noncoding RNAs in C. elegans by integrating conservation, secondary structure, and high-throughput sequencing and array data.
ZJ Lu, KY Yip, G Wang, C Shou, LW Hillier, E Khurana, A Agarwal, R Auerbach, J Rozowsky, C Cheng, M Kato, DM Miller, F Slack, M Snyder, RH Waterston, V Reinke, MB Gerstein (2011). Genome Res 21: 276-85.

RSEQtools: a modular framework to analyze RNA-Seq data using compact, anonymized data summaries.
L Habegger, A Sboner, TA Gianoulis, J Rozowsky, A Agarwal, M Snyder, M Gerstein (2011). Bioinformatics 27: 281-3.

FusionSeq: a modular framework for finding gene fusions by analyzing paired-end RNA-sequencing data.
A Sboner, L Habegger, D Pflueger, S Terry, DZ Chen, JS Rozowsky, AK Tewari, N Kitabayashi, BJ Moss, MS Chee, F Demichelis, MA Rubin, MB Gerstein (2010). Genome Biol 11: R104.

Nucleotide-resolution analysis of structural variants using BreakSeq and a breakpoint library.
HY Lam, XJ Mu, AM Stutz, A Tanzer, PD Cayting, M Snyder, PM Kim, JO Korbel, MB Gerstein (2010). Nat Biotechnol 28: 47-55.

Integrating sequencing technologies in personal genomics: optimal low cost reconstruction of structural variants.
J Du, RD Bjornson, ZD Zhang, Y Kong, M Snyder, MB Gerstein (2009). PLoS Comput Biol 5: e1000432.

PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data.
JO Korbel, A Abyzov, XJ Mu, N Carriero, P Cayting, Z Zhang, M Snyder, MB Gerstein (2009). Genome Biol 10: R23.

PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls.
J Rozowsky, G Euskirchen, RK Auerbach, ZD Zhang, T Gibson, R Bjornson, N Carriero, M Snyder, MB Gerstein (2009). Nat Biotechnol 27: 66-75.

MSB: a mean-shift-based approach for the analysis of structural variation in the genome.
LY Wang, A Abyzov, JO Korbel, M Snyder, M Gerstein (2009). Genome Res 19: 106-17.

Modeling ChIP sequencing in silico with applications.
ZD Zhang, J Rozowsky, M Snyder, J Chang, M Gerstein (2008). PLoS Comput Biol 4: e1000158.

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