Phone:   (812)-856-1859
Fax:       (812)-856-4764
E-mail:   hatang (at) indiana.edu

Lab: Computational Omics Lab (COL)

Go to Bioinformatics programs at IU Bloomington

Mailing address:

School of Informatics and Computing
150 S. Woodlawn Avenue
Bloomington, IN 47405-7104

Educaltional Background:

Research interests:

• Computational mass spectrometry:
We are interested in developing algorithmic and machine learning approaches to tackle challenging problems in analyzing mass spectrometric data, in particular for proteomics, glycomics and glycoproteomics. My group introduced the new concept, the peptide detectability in MS-based proteomics, and showed it can be predicted from the amino acid sequence of an entire protein. This concept was widely used in proteomics now by many groups. Based on the concept, my group developed a Bayesian framework to improve protein identification and protein inference. Funded by a NSF CAREER Award in 2007 and funding from NIH, my group developed the first set of software tools to assist the automated analysis of MS data for glycan profiling and the mapping site-specific glycosylations in proteins, including MultiGlycan, GlycoFragwork and GlycoSeq.
• Privacy preserving techniques for analysis and dissemination of human genome data:
Since 2008, my group has pioneered the application of privacy preserving techniques to sharing and analyzing genome data. My group studied the information leaks in published genome-wide association studies (GWAS), and developed a computational approach to assessing the privacy risks in to-be-released GWAS data. This work received the prestigious PET Award in 2011. In collaboration with the iDASH center at UCSD, we organized the NIH-funded challange for applying privacy-preserving techniques to human genome data (see Nature News and Genomeweb for reports of our efforts). The most recent challenge is ongoing (see here) I am also an active participant of the privacy/security working group at GA4GH for sharing human genome data.
• Mobile genetic elements:
  My group has developed MGEScan and ISEScan for the identification of mobile genetic elements in eukaryotic and bacterial genomes, and GRASPERfor the characterization of their insertion polymorphisms in natural populations of eukaryotic and bacterial species.
• Fragment assembly:
My early research focuses on the fragment assembly problem in DNA sequencing. Working with Drs. Pevzner and Waterman, I developed the Eulerian path approach to genome assembly, which was later adopted by most assemblers (such as Velvet, SOAPDenovo, ALLPATHS, etc) for assembling next-generation sequencing (NGS) data. Our work received the Test-of-time Award from the RECOMB conference in 2013 (see here).

Teaching:

Awards

1. NSF Early Career Development (CAREER) Award, 2007.
2. Indiana University Outstanding Junior Faculty Award, 2009.
3. Privacy Enhancing Technology (PET) Award, 2011.
4. RECOMB Test-of-time Award, 2013.

Books and Book Chapters

1. H. Tang, How does influenza virus jump from animals to humans? pp148-1640, in “Bioinformatics for Biologists”, P. A. Pevzner and R. Shamir (Eds), Cambridge University Press, 2011. Amazon
2. S. Kim, H. Tang and E. Mardis, ed. Genome sequencing technology and algorithms, Artech House Publishers (2007). Amazon
3. H. Tang and S. Kim, Bioinformatics: Mining the massive data from high throughput genomics experiments, pp1-24, in Analysis of Biological Data: A Soft Computing Approach, edited by Sanghamitra Bandyopadhyay, Ujjwal Maulik and Jason T. L. Wang, World Scientific Press (2007).
4. Y. Ye and H. Tang, Dynamic programming algorithms for sequence and structure comparison, pp9-28, in Bioinformatics Algorithms: Techniques and Applications , edited by Ion Mandoiu and Alexander Zelikovsky , Wiley Press (2008).
5. H. Tang, How does influenza virus jump from animals to humans? Bioinformatics for Biologists, edited by P. A. Pevzner and R. Shamir, Cambridge University Press, (2011).

Recent Publications:

1. M. Rho, Y. Wu, H. Tang, T. Doak and Y. Ye (2011), Diverse CRISPRs evolving in human microbiomes, Plos Genetics, in press.
2. Y. Zhao, H. Tang and Y. Ye (2011) RAPSearch2: a fast and memory-efficient protein similarity search tool for next generation sequencing data. Bioinformatics, in press. Pubmed
3. S. Lee, M. Kwon, H. Lee, Y. Paik, H. Tang, J. K. Lee and T. Park (2011) Enhanced peptide quantification using spectral count clustering and cluster abundance, BMC Bioinformatics, 12:423. Pubmed
4. X. Lai, L. Wang, H. Tang and F. A. Witzmann (2011) A Novel Alignment Method and Multiple Filters for Exclusion of Unqualified Peptides To Enhance Label-Free Quantification Using Peptide Intensity in LC-MS/MS, Journal of Proteome Research, 10:4799-4812. Pubmed
5. Y. Ye, J. Choi and H. Tang (2011) RAPSearch: a fast protein similarity search tool for short reads, BMC Bioinformatics. 12:159. Pubmed
6. A. Mayampurath, C. Yu and H. Tang (2011), Bioinformatic approach to glycomics and glycoproteomics, Current Proteomics, 8(4):309-324. online
7. Y. Chen, B. Peng, X. Wang and H. Tang (2012), Large-Scale Privacy-Preserving Mapping of Human Genomic Sequences on Hybrid Clouds, Proceeding of the 19th Network & Distributed System Security Symposium (NDSS'12), accepted.
8. X. Zhou, B. Peng, Y. F. Li, Y. Chen, H. Tang and X. Wang (2011) To release or not to release: evaluating information leaks in aggregate human-genome Data, Proceedings of the 16th European conference on Research in computer security (ESORICS'11), Lecture Notes in Computer Science, 6879:607-627. LNCS
9. Daphnia Genome Consortium (2011), The expansive genome of Daphnia pulex with environment-dependent gene regulation, Science, (6017):555-561. Science online , Science comment
10. L. Cherbas, A. Willingham, D. Zhang, L. Yang, Y. Zou, B. D. Eads, J. W. Carlson, J. M. Landolin, P. Kapranov, J. Dumais, A. Samsonova, J.-H. Choi, J. Roberts, C. A. Davis, H. Tang, M. J. van Baren, S. Ghosh, A. Dobin, K. Bell, W. Lin, L. Langton, M. O. Duff, A. E. Tenney, C. Zaleski, M. R. Brent, R. A. Hoskins, T. C. Kaufman, J. Andrews, B. R. Graveley, N. Perrimon, S. E. Celniker, T. R. Gingeras and P. Cherbas (2011) The transcriptional diversity of 25 Drosophila cell lines, Genome Research, 21:301-314. Pubmed
11. N. Shah, H. Tang, T. G. Doak and Y. Ye (2011), Comparing bacterial communities inferred from 16S rRNA gene sequencing and shotgun metagenomics. Pac Symp Biocomput. 2011:165-176. Fulltext from PSB online proceeding.
12. S. Li, R. J. Arnold, H. Tang and P. Radivojac (2010) On the accuracy and limits of peptide fragmentation spectrum prediction. Analytical Chemistry, in press. Pubmed.
13. M. Rho, H. Tang and Y. Ye (2010) FragGeneScan: predicting genes in short and error-prone reads. Nucl. Acids Res., 38(20):e191. Pubmed, Free fulltext at NAR online.
14. C. Zhong, H. Tang, and S. Zhang (2010), RNAMotifScan: automatic identification of RNA structural motifs using secondary structural alignment. Nucl. Acids Res., 38(18): e176. Pubmed, Free fulltext at NAR online.
15. Y. F. Li, R. J. Arnold, H. Tang and P. Radivojac (2010), The importance of peptide detectability for protein identification, quantification, and experiment design in MS/MS proteomics. J. Proteome Research. 9(12): 6288-6297. Pubmed.
16. B. C. Bohrer, Y. F. Li, J. P. Reilly, D. E. Clemmer, R. D. DiMarchi, P. Radivojac, H. Tang and R. J. Arnold (2010), Combinatorial Libraries of Synthetic Peptides as a Model for Shotgun Proteomics. Anal. Chem. 82 (15): 6559-6568. Pubmed.
17. M. Rho, S. Schaack, X. Gao, S. Kim, M. Lynch and H. Tang (2010), LTR retroelements in the genome of Daphnia pulex, BMC Genomics, 11:425. Pubmed.
18. Y. Wu, Y. Mechref, I. Klouckova, A. Mayampurath, M. V. Novotny and H. Tang (2010), Mapping Site-specific Protein N-Glycosylations through Liquid Chromatography/Mass Spectrometry and Targeted Tandem Mass Spectrometry, Rapid Communication of Mass Spectrometry, 24(7):965-72. Pubmed.
19. D. Hajkova, Y. Imanishi, V. Palamalai, K. C. S. Rao, C. Yuan, Q. Sheng, H. Tang, R. Zeng, R. M. Darrow, D. T Organisciak and M. Miyagi (2010), Proteomic changes in the photoreceptor outer segment upon intense light exposure, J. Proteome Res., 9(2):1173-1181. Pubmed.
20. M. Rho and H. Tang (2009), MGEScan-nonLTR: computational identification and classification of Non-LTR retrotransposons in eukaryotic genomes. Nucleic Acid Res, 37(21):e143. Free fulltext at NAR online
21. R. Wang, F. Y. Li, X. Wang, H. Tang and X. Zhou (2009), Learning your identity and disease from research papers: information leaks in genome wide association study. Proceeding of 16th ACM conference on Computer and Communication Security (CCS'09). CCS online
22. R. Wang, X. Wang, Z. Li, H. Tang, M. Reiter and Z. Dong (2009), Privacy-preserving genomic computation through program specialization. Proceeding of 16th ACM conference on Computer and Communication Security (CCS'09). CCS online
23. Y. F. Li, R. J. Arnold, Y. Li, P. Radivojac, Q. Sheng and H. Tang (2009), A Bayesian approach to protein inference problem in shotgun proteomics. J. Comp. Biol., 16(8): 1183-1193. Pubmed
24. Y. Ye and H. Tang (2009), An ORFome assembly approach to metagenomics sequences analysis. J. Bioinf. Comp. Biol., 7(3):455-71. Pubmed
25. M. Rho, M. Zhou, X. Gao, S. Kim, H. Tang, M. Lynch (2009), Independent Mammalian Genome Contractions Following the KT Boundary. Gen. Biol. Evol. 1:2-12. Free Fulltext at GBE online
26. B. Mann, M. Madera, Q. Sheng, H. Tang, Y. Mechref, M. V. Novotny (2008), ProteinQuant Suite: a bundle of automated software tools for label-free quantitative proteomics, Rapid Comm. Mass Spec., 22:3823-3834. Pubmed
27. Q. Sheng, Y. Mechref, Y. Li, M. V. Novotny, H. Tang (2008), A computational approach to characterizing bond linkage of glycan isomers using MALDI-TOF-TOF mass spectrometry, Rapid Comm. Mass Spec. 22:3561-3569. Pubmed
28. C. Shen, Q. Sheng, J. Dai, Y. Li, R. Zeng, H. Tang (2008), On the estimation of false positives in peptide identifications using decoy search strategy, Proteomics, 9(1):194-204. Pubmed
29. C. Yuan, Q. Sheng, H. Tang, Y. Li, R. Zeng, R. J. Solaro (2008), Quantitative comparison of Sarcomeric phosphoproteomes of neonatal and adult rat hearts, Am. J Physiol. Heart Circ. Physiol., 295(2):H647-56. Pubmed
30. Y. Ye, H. Tang (2008), An ORFome assembly approach to metagenomics sequences analysis. Proceedings of the 7th Annual International Conference on Computational Systems Biology (CSB'08), 3-13. CSB online
31. Y. F. Li, R. J. Arnold, Y. Li, P. Radivojac, Q. Sheng, H. Tang (2008), A Bayesian approach to protein inference problem in shotgun proteomics. Proceedings of the 12th Annual International Conference on Computational Molecular Biology (RECOMB08), LNBI 4955, 167-180. LNBI online
32. S. Saha, S. H. Harrison, C. Shen, H. Tang, P. Radivojac, R. J. Arnold, X. Zhang, J. Y. Chen (2008), HIP2: An online database of human plasma proteins from healthy individuals. BMC Med Genomics. 1:12. Pubmed
33. J. H. Choi, S. Kim, H. Tang, J. Andrew, D. G. Gilbert, J. K. Colbourne (2008), A machine-learning approach to combined evidence validation of genome assemblies, Bioinformatics, 24(6):744-50. Pubmed
34. P. Alves, R. J. Arnold, D. E. Clemmer, Y. Li, J. P. Reilly, Q. Sheng, H. Tang, Z. Xun, R. Zeng, and P. Radivojac (2008), Fast and accurate identification of semi-tryptic peptides in shotgun proteomics, Bioinformatics, 24: 102-109. Pubmed
35. Z. Jiang, H. Tang, M. Ventura, M. F. Cardone, T. Marques-Bonet, X. She, P. A. Pevzner, E. E. Eichler (2007), Ancestral reconstruction of segmental duplications reveals punctuated cores of human genome evolution. Nat Genet. 39:1361-1368. Pubmed, Commentary on Nature Genetics.
36. H. Tang (2007) Genome assembly, rearrangement and repeats, Chem Rev., 107(8):3391-3406. Pubmed.
37. S. H. Bae, H. Tang, J. Wu, J. Xie and S. Kim (2007), dPattern: transcription factor binding site (TFBS) discovery in human genome using a discriminative pattern analysis. 23:2619-2621. Pubmed.
38. M. Rho, J. H. Choi, S. Kim, M. Lynch and H. Tang (2007), De novo identification of LTR retrotransposons in eukaryotic genomes. BMC Genomics, 8:90. Pubmed.
39. A. Sundquist, M. Ronaghi, H. Tang, P. A. Pevzner and S. Batzoglou (2007), Whole-genome sequencing and assembly with high-throughput, short-read technologies. PLoS ONE, 2:e484. Pubmed.
40. Y. Wu, Y. Mechref, I. Klouckova, M. V. Novotny and H. Tang (2007), A computational approach for the identification of site-specific protein glycosylations through ion-trap mass spectrometry, The Third RECOMB Satellite meeting on Proteomics, Lecture Notes in Bioinformatics, 4532:96-107, LNCS online.
41. P. Alves, R. J. Arnold, M. V. Novotny, P. Radivojac, J. P. Reilly and H. Tang (2007), Advancement in protein inference from shotgun proteomics using peptide detectability. Pacific Symposium on Biocomputing, 12:409-420. Fulltext from PSB online proceeding.
42. R. Patwardhan, H. Tang, S. Kim and M. Dalkilic (2006), An approximate de Bruijn graph approach to multiple local alignment and motif discovery in protein sequences, The First International Workshop in data mining and bioinformatics, Lecture Notes in Bioinformatics, 4316:158-169.
43. D. Zhi, B. Raphael, A. Price, H. Tang and P. Pevzner (2006), Identifying repeat domains in large genomes, Genome Biology, 7(1):R7, Pubmed.
44. D. Zhi, R. Keich, P. Pevzner, S. Heber and H. Tang (2006), Checking for base-calling errors in repeats. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 4(1):54-64, 2007, Pubmed
45. H. Tang, R. J. Arnold, P. Alves, Z. Xun, D. E. Clemmer, M. V. Novotny, J. P. Reilly and P. Radivojac (2006), A computational approach toward label-free protein quantification using predicted peptide detectability. Bioinformatics, 22(14):e481-488, ISMB 2006. Pubmed.
46. V. Bafna, H. Tang and Shaojie Zhang (2006), Consensus Folding of Unaligned RNA Sequences Revisited. J. Comp. Biol. 13(2):283-295, Pubmed.
47. R. J. Arnold, N. Jayasankar, D. Aggarwal, H. Tang and P. Radivojac (2006), A machine learning approach to predicting peptide fragmentation spectra. Proceeding of Pacific Symposium on Biocomputing, 11:219-230, Fulltext from PSB online proceeding.
48. H. Tang, Y. Mechref and M. Novotny (2005), Automatic Interpretation of MS/MS Spectra of Oligosaccharides. Bioinformatics, 21 Suppl 1:i431-i439, ISMB 2005, Pubmed
49. V. Bafna, H. Tang and Shaojie Zhang (2005), Consensus Folding of Unaligned RNA Sequences Revisited. Proceedings of the Ninth Annual International Conference on Computational Molecular Biology (RECOMB'05), 172-187, May 2005, Boston, USA, ACM.
50. B. Raphael, D. Zhi, H. Tang and P. A. Pevzner, A novel method for multiple alignment of sequences with repeats and shuffled elements. Genome Res. 2004, 14: 2336-2346. Pubmed
51. N. Bandeira, H. Tang, V. Bafna and P. A. Pevzner, Shotgun protein sequencing by tandem mass assembly. Analytical Chemistry, 2004, 76:7221-33. Pubmed
52. P. A. Pevzner, H. Tang and G. P. Tesler, De novo repeat classification and fragment assembly. Genome Res. 2004 Sep; 14(9): 1786-96. Pubmed
53. M. Chaisson M, P. A. Pevzner and H. Tang, Fragment assembly with short reads. Bioinformatics. 2004 Sep 1; 20(13): 2067-74. Pubmed
54. P. A. Pevzner, H. Tang and G. P. Tesler, De novo repeat classification and fragment assembly. Proceedings of the Eighth Annual International Conference on Computational Molecular Biology (RECOMB'04), April 2004, San Diego, USA, ACM Press. 2004 Sep; 14(9): 1786-96.
55. S. Heber, M. Alekseyev M, S. H. Sze, H. Tang and P. A. Pevzner, Splicing graphs and EST assembly problem. Bioinformatics. 2002; 18 Suppl 1 :S181-8 (ISMB 2002 issue). Pubmed
56. P. A. Pevzner and H. Tang, Fragment assembly with double-barreled data. Bioinformatics. 2001 Jun;17 Suppl 1:S225-33 (Special ISMB 2001 issue). Pubmed
57. P. A. Pevzner, H. Tang and M. S. Waterman (2001) A New Approach to Fragment Assembly in DNA Sequencing. Proceedings of the Fifth Annual International Conference on Computational Molecular Biology (RECOMB'01), April 2001, Montreal, Canada, ACM Press.
58. Q. Tu, H. Tang and D. Ding, MedBlast: searching articles related to a biological sequence. Bioinformatics. 2004,20:75-77. Pubmed
59. P. A. Pevzner, H. Tang and M. S. Waterman (2001), An Eulerian path approach to DNA fragment assembly. Proc. Natl. Acad. Sci. USA, 98:9748-9753. Pubmed Nature News
60. S. Kruglyak and H. Tang (2001) A New Estimator of Significance of Correlation in Time Series Data, J. Comp. Biol. 2001,8:463-470. Pubmed
61. S. Kruglyak and H. Tang (2000) Regulation of Adjecent Yeast Genes. Trends in Genetics, 16:109-111. Pubmed