Haixu Tang
Associate Professor of Informatics and Computing
Adjunct Associate Professor in Biology
Director of Bioinformatics at Center for Genomics and Bioformatics

Office:   Lindley Hall 301D

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:

Ph.D. in Biochemistry, Shanghai Institute of Biochemistry, Chinese Academy of Sciences.
B.S. in Physics, Department of Physics, Nanjing University, China.

Research Interests:

Algorithmic and statistical problems in Bioinformatics, particularly in

Teaching:

Fall 2004
          I602:
Capstone project for bioinformatics master students

Spring 2005
      
I590: Topics in Informatics: Introduction to genomics (for non-biology students)

Fall 2006
      
I519: Introduction to Bioinformatics

Spring 2006
      
I690: Computational techniques in comparative genomics
       
I627: Seminar in Bioinformatics

Fall 2006
      
I617: Informatics in life sciences and chemistry

Spring 2007
      
I529: Biological sequence analysis

Fall 2007
      
I690: Advanced algorithms in bioinformatics

Spring 2008
      
I529: Biological sequence analysis

Fall 2008
      
I201: Mathematics foundations in Informatics

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? pp148-164, 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).

Recent Publications:

  1. W. M. Ismail, Y. Ye and H. Tang (2014), Gene finding in metatranscriptomic sequences. Proceeding of RECOMB Satellite Workshop on DNA sequencing (RECOMB-seq, published as a special issue in BMC Bioinformatics), in press.
  2. A. Mayampurath, E. Song, A. Mathur, C. Yu, Y. Mechref, H. Tang (2014), Label-free Glycopeptide Quantification for biomarker discovery in human sera, J. Proteome Res., DOI: 10.1021/pr500242m, in press. Pubmed
  3. T. Blevins, F. Pontvianne, R. Cocklin, R. Podicheti, C. Chandrasekhara, S. Yerneni, C. Braun, B. Lee, D. Rusch, K. Mockaitis, H. Tang and C. S. Pikaard (2014), A two-step process for epigenetic inheritance in Arabidopsis, Molecular Cell, 54(1):30-42. Pubmed
  4. H. Lee, E. Popodi, P. Foster and H. Tang (2014), Detection of Structural Variants Involving Repetitive Regions in the Reference Genome. Journal of Computational Biology 21(3):219-233. Pubmed
  5. H. Tang, A. Mayampurath, C. Yu, and Y. Mechref (2014) Bioinformatics protocols in glycomics and glycoproteomics. Current Protocols in Protein Science, 2-15. Pubmed
  6. A. Mayampurath, C. Yu, E. Song, J. Balan, Y. Mechref and H. Tang (2014), A computational framework for identification of intact glycopeptides in complex sample, Anal. Chem., 86:453-463. Pubmed
  7. M. P. Peterson, K. A. Rosvall, C. A. Taylor, J. A. Lopez, J.-H. Choi, C. Ziegenfus, H. Tang, J. K. Colbourne and E. D. Ketterson (2014), Potential for sexual conflict assessed via testosterone-mediated transcriptional changes in liver and muscle of a songbird. J. Exp. Biol. 217:507-517. Pubmed
  8. L. Xue, P. Wang, L. Wang, E. Renzi, P. Radivojac, H. Tang, R. Arnold, J. K. Zhu, and W. A. Tao (2013), Quantitative measurement of phosphoproteome response to osmotic stress in Arabidopsis based on Library-Assisted eXtracted Ion Chromatogram (LAXIC). Molecular & Cellular Proteomics, 12:2354-2369. Pubmed
  9. N. Leymarie, P. J. Griffin, K. Jonscher, D. Kolarich, R. Orlando, M. McComb, J. Zaia, J. Aguilan, W. R. Alley, F. Altmann, L. E. Ball, L. Basumallick, C. R. Bazemore-Walker, H. Behnken, M. A. Blank, K. J. Brown, S. Bunz, C. W. Cairo, J. F. Cipollo, R. Daneshfar, H. Desaire, R. R. Drake, E. P. Go, R. Goldman, C. Gruber, A. Halim, Y. Hathout, P. J. Hensbergen, D. M. Horn, D. Hurum, W. Jabs, G. Larson, M. Ly, B. F. Mann, K. Marx, Y. Mechref, B. Meyer, U. Möginger, C. Neusüss, J. Nilsson, M. V. Novotny, J. O. Nyalwidhe, N. H. Packer, P. Pompach, B. Reiz, A. Resemann, J. S. Rohrer, A. Ruthenbeck, M. Sanda, J. M. Schulz, U. Schweiger-Hufnagel, C. Sihlbom, E. Song, G. O. Staples, D. Suckau, H. Tang, M. Thaysen-Andersen, R. I. Viner, Y. An, L. Valmu, Y. Wada, M. Watson, M. Windwarder, R. Whittal, M. Wuhrer, Y. Zhu and C. Zou (2013), Interlaboratory study on differential analysis of protein glycosylation by mass spectrometry: the ABRF glycoprotein research multi-institutional study 2012. Mol Cell Proteomics, 12:2935-2951. Pubmed
  10. S. Li, R. J. Arnold, H. Tang and P. Radivojac (2013), Improving phosphopeptide identification in shotgun proteomics by supervised filtering of peptide-spectrum matches. Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACMBCB), ACM, 2013. Pubmed
  11. D. Jiao, Y. Ye and H. Tang (2013), Probabilistic inference of biochemical reactions in microbial communities from metagenomic sequences. PLoS computational biology, 9(3):e1002981. Pubmed
  12. P. L. Foster, A. J. Hanson, H. Lee, E. M. Popodi and H. Tang (2013), On the mutational topology of the bacterial genome. G3: Genes| Genomes| Genetics 3(3):399-407. Pubmed
  13. D. F. B. Miller, P. S. Yan, A. Buechlein, B. A Rodriguez, A. S Yilmaz, S. Goel, H. Lin, B. Collins-Burow, L. V Rhodes, C. Braun, S. Pradeep, R. Rupaimoole, M. Dalkilic, A. K. Sood, M. E. Burow, H. Tang, T. H. Huang, Y. Liu, D. B. Rusch and K. P. Nephew (2013), A new method for stranded whole transcriptome RNA-seq, 63(2):126-134. Pubmed
  14. Y. Mechref, Y. Hu, J. L. Desantos-Garcia, A. Hussein and H. Tang (2013), Quantitative glycomics strategies, Molecular & Cellular Proteomics, 12(4):874-884. Pubmed
  15. 16. Q. Zhang, M. Rho, H. Tang, T. G. Doak and Y. Ye (2013), CRISPR-Cas systems target a diverse collection of invasive mobile genetic elements in human microbiomes, Genome biology 14(4):R40. Pubmed
  16. C. Yu, A. Mayampurath, Y. Hu, S. Zhou, Y. Mechref, and H. Tang (2013), Automated annotation and quantification of glycans using liquid chromatography-mass spectrometry, Bioinformatics 29(13):1706-1707. Pubmed
  17. M. P. Peterson, K. A. Rosvall, J. H. Choi, C. Ziegenfus, H. Tang, J. K. Colbourne, E. D. Patterson (2013), Testosterone affects neural gene expression differently in male and female juncos: a role for hormones in mediating sexual dimorphism and conflict, PLoS ONE, 8(4):e61784. Pubmed
  18. C. Yu, A. Mayampurath and H. Tang (2013), Software tools for glycan profiling. Methods in Molecular Biology, 951:269-276. Pubmed
  19. C. Ji, R. Arnold, H. Tang and P. Radivojac (2013) Extending the coverage of spectral libraries: a neighbor-based approach to predicting intensities of peptide fragmentation spectra, Proteomics, 13:756–765. Pubmed
  20. H. Lee, E. Popodi, H. Tang and P. Foster (2012), The rate and molecular spectrum of spontaneous mutations in the bacterium, Escherichia coli, as determined by whole-genome sequencing, Proc. Natl. Acad. Sci., 109(41):E2774-E2783. Pubmed
  21. M. P Peterson, D. J Whittaker, S. Ambreth, S. Sureshchandra, A. Buechlein, R. Podicheti, J. Choi, Z. Lai, K. Mockatis, J. Colbourne, H. Tang and E. D. Ketterson (2012) De novo transcriptome sequencing in a songbird, the dark-eyed junco (Junco hyemalis): genomic tools for an ecological model system. 13:305. Pubmed
  22. Mingjie Wang, Yuzhen Ye, and Haixu Tang (2012). J. Comp. Biol., 19(6):814-825. Pubmed
  23. I. Mitra, Z. Zhuang, Y. Zhang, C. Y. Yu, Z. T. Hammoud, H. Tang, Y. Mechref and S. C. Jacobson, N-Glycan Profiling by Microchip Electrophoresis to Differentiate Disease-States Related to Esophageal Adenocarcinoma. Anal. Chem. 84(8):3621-3617. Pubmed
  24. H. Lee and H. Tang (2012), Next-generation sequencing technologies and fragment assembly algorithms, Methods in Molecular Biology, 855(2):155-174. Pubmed
  25. Q. Sheng, J. Dai, Y. Wu, H. Tang, and R. Zeng (2012), BuildSummary: Using a Group-Based Approach To Improve the Sensitivity of Peptide/Protein Identification in Shotgun Proteomics, J. Proteome Re. 11(3):1494-1502. Pubmed
  26. A. T .Wierzbicki, R. Cocklin, A. Mayampurath, R. Lister, M. J. Rowley, B. D. Gregory, J. R. Ecker, H. Tang and C. S. Pikaard (2012), Spatial and functional relationships among Pol V-associated loci, Pol IV-dependent siRNAs, and cytosine methylation in the Arabidopsis epigenome, Genes & Development 26(16):1825-1836. Pubmed, Commentary on Genes & Development, Commentary on Nature Structural and Molecular Biology,Commentary on Nature Reviews Genetics
  27. Y. Li, R. Arnold, P. Radivojac and H. Tang (2012), Protein Identification Problem from a Bayesian Point of View, Statistics and its interface, 5:21-37. online
  28. M. Rho, Y. Wu, H. Tang, T. Doak and Y. Ye (2012), Diverse CRISPRs evolving in human microbiomes, Plos Genetics, 8(6):e1002441. Pubmed
  29. Y. Zhao, H. Tang and Y. Ye (2012) RAPSearch2: a fast and memory-efficient protein similarity search tool for next generation sequencing data. Bioinformatics,28(1):125-126. Pubmed
  30. 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) online.
  31. 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
  32. 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
  33. Y. Ye, J. Choi and H. Tang (2011) RAPSearch: a fast protein similarity search tool for short reads, BMC Bioinformatics. 12:159. Pubmed
  34. A. Mayampurath, C. Yu and H. Tang (2011), Bioinformatic approach to glycomics and glycoproteomics, Current Proteomics, 8(4):309-324. online
  35. A. Mayampurath, Y. Wu, Z. M. Segu, Y. Mechref and H. Tang (2011) Improving confidence in detection and characterization of protein N-glycosylation sites and microheterogeneity, Rapid Communication of Mass Spectrometry, 25:2007-2019. Pubmed
  36. 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
  37. Daphnia Genome Consortium (2011), The expansive genome of Daphnia pulex with environment-dependent gene regulation, Science, (6017):555-561. Science online , Science comment
  38. 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
  39. 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.
  40. S. Li, R. J. Arnold, H. Tang and P. Radivojac (2010) On the accuracy and limits of peptide fragmentation spectrum prediction. Anal. Chem., Pubmed.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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
  49. 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
  50. 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
  51. 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
  52. Y. Ye and H. Tang (2009), An ORFome assembly approach to metagenomics sequences analysis. J. Bioinf. Comp. Biol., 7(3):455-71. Pubmed
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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. PubmedCommentary on Nature Genetics.
  64. H. Tang (2007) Genome assembly, rearrangement and repeats, Chem Rev., 107(8):3391-3406. Pubmed.
  65. 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.
  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. D. Zhi, B. Raphael, A. Price, H. Tang and P. Pevzner (2006), Identifying repeat domains in large genomes, Genome Biology, 7(1):R7, Pubmed.
  72. 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
  73. 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.
  74. V. Bafna, H. Tang and Shaojie Zhang (2006), Consensus Folding of Unaligned RNA Sequences Revisited. J. Comp. Biol. 13(2):283-295, Pubmed.
  75. 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.
  76. 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
  77. 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.
  78. 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
  79. N. Bandeira, H. Tang, V. Bafna and P. A. Pevzner, Shotgun protein sequencing by tandem mass assembly. Analytical Chemistry, 2004, 76:7221-33. Pubmed
  80. 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
  81. M. Chaisson M, P. A. Pevzner and H. Tang, Fragment assembly with short reads. Bioinformatics. 2004 Sep 1; 20(13): 2067-74. Pubmed
  82. 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.
  83. 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
  84. 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
  85. 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.
  86. Q. Tu, H. Tang and D. Ding, MedBlast: searching articles related to a biological sequence. Bioinformatics. 2004,20:75-77. Pubmed
  87. 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
  88. 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
  89. S. Kruglyak and H. Tang (2000) Regulation of Adjecent Yeast Genes. Trends in Genetics, 16:109-111. Pubmed