Genomics & Bioinformatics Service

Providing Genomics and Bioinformatics Service to the Texas A&M AgriLife, the Texas A&M System, Texas, and the World

To start a sequencing project please contact us at txgen@ag.tamu.edu

GENOMICS & BIOINFORMATICS SERVICE

Providing Next Generation Sequencing and Bioinformatics Services
Go to Sequencing

Sequencing

We have already sequenced more than 100 different species (not counting metagenomic projects), over 1000 samples/month processed and we add about one new project every day.

Go to Library preparation

Library preparation

A key element of NGS is the high-quality library preparation. The protocols and equipment used by our team can accommodate a range of needs.

Go to Bioinformatics Analysis and Processing

Bioinformatics Analysis and Processing

Our quantitative and computational analytical unit sits at the cutting edge of bioinformatics research — we use the latest tools and develop improvements to correct short comings with these tools.

To start a sequencing project please contact us at txgen@ag.tamu.edu

Who We Are

Established to radically improve genomic research across AgriLife, TAMU, and the Texas A&M University System

Introducing TxGen, the Texas A&M AgriLife Genomics and Bioinformatics Service! At TxGen, our mission is to revolutionize genomic research across AgriLife, COALS, and the Texas A&M University System by providing world-class laboratory and bioinformatics expertise. We're dedicated to accelerating genomic research across Texas and the world, and embodying the Aggie Core Values of Service, Excellence, Leadership, Loyalty, Respect, and Integrity.

Texas A&M AgriLife Director, Genomics and Bioinformatics

Led by Dr. Charles Johnson, our team of genomics, bioinformatics, and molecular scientists is committed to meeting the next generation sequencing (NGS) needs of the TAMU system and broader scientific community. With over 13 years of experience running a gene technologies lab and more than 3000 completed projects, we've grown to be one of the leading agrigenomic sequencing facilities in the world. We're proud to be recognized as a center of excellence by both Illumina and PerkinElmer, and to have the capacity to process over 200,000 samples per year and generate enough data to sequence 43,000 human genomes at a cost well below most commercial and academic facilities. Investments in personnel and equipment have been critical to providing genomics and bioinformatics infrastructure for student training, faculty retention, and successful R&D initiatives in the areas of agriculture, life sciences, human health, and veterinary medicine.

Allow us to serve you and let's accelerate genomic research together!

    • AgriLife gets 1st Illumina GAIIx 2009
    • AgriLife gets 2nd Illumina GAIIx 2010
    • Roche 454 2010

    • Illumina HiSeq 2000 purchase Spring 2012
    • Illumina HiSeq 2500v3 upgrade Fall 2012
    • Lead AgriLife Genomic Seed Grant (470K)
    • Started offering Illumina MiSeq Spring 2013
    • Board of Regents approved CBGSE August 2013
    • Move to Gateway facility January 2014
    • Illumina MiSeq January 2014
    • Lead Texas A&M Genomics Seed Grant program (600K) 2014
    • Lead Genomics of Plant Water Use Seed Grant (300K) 2014
    • Illumina HiSeq 2500v4 Summer 2014
    • Oxford Nanopore minION system Fall 2014
    • Lead Vet school graduate seed grant program fall 2015
    • Lead Vector Borne Disease Genomic Seed Grant (200K) 2016
    • Lead Genomics of Plant Water Use Seed Grant (220K) 2016
    • Illumina HiSeq 4000 June 2016
    • PacBio Sequel Auguest 2016
    • OxFord Nanopore minION R9 flowcell
    • Lead Vet school graduate research grant program fall 2016
    • Illumina Novaseq install May 2017
    • PoreCampUSA June 2017
    • Plant Gene Editing Seed Grant Program (500k) Dec 2017
    • New Lab Grand Opening Oct 2019
    • 1st Ag Focused Illumina DREAGN Oct 2019
    • 2nd Illumina NovaSeq Dec 2019

    • Supported over 1000 researchers drawn from over 65 departments, 10 colleges, and multiple agencies across the Texas A&M System.
    • Involved in over 700 state and federal grant submissions, resulting in over $135 millions in new funding for scientists across the TAMU system.
    • Launched ten Seed Grant programs- distributing a total of $2.4M in sequencing and bioinformatics services to faculty across the system to generate preliminary data to facilitate outside grant funding. 458 seed grant proposals submitted with over 846 total participants. 106 funded projects, generating $8M in new funding from the first $400k seed grant program.
    • Marker Assisted Breeding program
    • Launched highly successful genomic seed grant program – produced largest response in AgriLife history

Our Mission: We empower genomics research worldwide by providing exceptional support to our clients. With unwavering commitment to quality, accuracy, and innovation, we lead the way in genomic technology. Our core values of service, excellence, leadership, loyalty, respect, and integrity drive us to improve lives and advance scientific discovery.

Selfless service: We prioritize our clients, striving to exceeding expectations.

Excellence : We relentlessly pursue the highest standards in all aspects of our work.

Leadership: At Texas A&M AgriLife, we cultivate leaders who inspire others to follow. 

Loyalty: Trust is our foundation, built over time through consistent reliability.

Respect: We earn respect daily, recognized globally as a top agrigenomic lab.

Integrity: Guided by the Aggie Honor Code, we uphold unwavering ethics.

To start a sequencing project please contact us at txgen@ag.tamu.edu

To start a sequencing project please contact us at txgen@ag.tamu.edu

To start a sequencing project please contact us at txgen@ag.tamu.edu

Names in bold are TxGen personnel – ready to support your next research project and/or grant. Journal Papers

2024

  •  Wardah K. Mustahsan, Yuya Liang, Abdul R. Mohammed, Charles D. Johnson, Endang M. Septiningsih, Lee Tarpley, Michael J. Thomson. Transcriptome profiling of two rice varieties reveals their molecular responses under high night-time temperature. Plos One Published: October 10, 2024
    https://doi.org/10.1371/journal.pone.0311746
  • Heidi M. Blank, Staci E. Hammer, Laurel Boatright, Courtney Roberts, Katarina E. Heyden, Aravindh Nagarajan, Mitsuhiro Tsuchiya, Marcel Brun, Charles D. Johnson, Patrick J. Stover, Raquel Sitcheran, Brian K. Kennedy, ProfileL. Garry Adams, Matt Kaeberlein, Martha S. Field, David W. Threadgill, Helene L. Andrews-Polymenis, Michael Polymenis. Late-life dietary folate restriction reduces biosynthetic processes without compromising healthspan in mice. Life Science Alliance 07/2024 doi: https://doi.org/10.1101/2024.01.12.575290  Preprint
  • Nancy H. Ing, Kranti Konganti, Noushin Ghaffar, Charles D. Johnson, David W. Forrest, Charles C. Love, Dickson D. Varner. Specific microRNAs in stallion spermatozoa are potential biomarkers of high functionality. Reproduction of Domestic Animals 15 July 2024 https://doi.org/10.1111/rda.14674
  • Alper Adak, Seth C. Murray, José I. Varela, Valentina Infant, Jennifer Wilker, Claudia Irene Calderón, Nithya Subramanian, Natalia de Leon, Jianming Yu, Matthew A. Stull, Marcel Brun, Joshua Hill, Charles D. Johnson, Oscar Riera-Lizarazu, William L. Rooney, Hongbin Zhang. Photoperiod associated late flowering reaction norm: Dissecting loci and genomic-enviromic associated prediction in maize. Field Crops Research.
    Volume 311, 1 May 2024.  https://doi.org/10.1016/j.fcr.2024.109380
  • Henry L North, Zhen Fu, Richard Metz, Matt A Stull, Charles D Johnson, Xanthe Shirley, Kate Crumley, Dominic Reisig, David L Kerns, Todd Gilligan, Tom Walsh, Chris D Jiggins, Gregory A Sword Rapid Adaptation and Interspecific Introgression in the North American Crop Pest Helicoverpa zea. Molecular Biology and Evolution, Volume 41, Issue 7, July 2024, msae129, https://doi.org/10.1093/molbev/msae129

2023

  • Parker, K., Wang, Z., Dhakal, S., Yu, S., Rauf, Y., Baker, J. A., Baker, S., Ibrahim, A. M. H., Xue, Q., Wang, S., Johnson, C., & Liu, S. (2023) Multi-Trait Genomic Prediction of Baking Quality Traits for Synthetic Derived Hexaploid Wheat [Abstract]. ASA, CSSA, SSSA International Annual Meeting, St. Louis, MO. https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/150686
  • Liu, S., Wang, Z., Parker, K., Yu, S., Rauf, Y., Xue, Q., Dhakal, S., Rudd, J. C., Ibrahim, A. M. H., Baker, J. A., Baker, S., Wang, S., Johnson, C. (2023) Exploring Novel Genetic Alleles for Improving Wheat Yield and Resistances Using Genome-Wide Association Analyses and Genetic Prediction of Synthetic Derived Wheat Lines [Abstract]. ASA, CSSA, SSSA International Annual Meeting, St. Louis, MO. https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Paper/151081
  • Alper Adak, Seth C. Murray, Claudia Irene Calderón, Valentina Infante, Jennifer Wilker, José I. Varela, Nithya Subramanian, Thomas Isakeit, Jean-Michel Ané, Jason Wallace, Natalia de Leon, Matthew A. Stull, Marcel Brun, Joshua Hill & Charles D. Johnson . Genetic mapping and prediction for novel lesion mimic in maize demonstrates quantitative effects from genetic background, environment and epistasis. Theor Appl Genet 136, 155 (2023). https://doi.org/10.1007/s00122-023-04394-y
  • Henry L. North, Zhen Fu, Richard Metz, Matt A. Stull, Charles D. Johnson, Xanthe Shirley, Kate Crumley, Dominic Reisig, David L. Kerns, Todd Gilligan, Tom Walsh, Chris D. Jiggins, Gregory A. Sword. Rapid evolution of pesticide resistance via adaptation and interspecific introgression in a major North American crop pest. bioRxiv 2023.10.04.560869; doi: https://doi.org/10.1101/2023.10.04.560869
  • Ranjita Thapa1, Rodante E. Tabien, Charles D. Johnson and Endang M. Septiningsih. Comparative transcriptomic analysis of germinating rice seedlings to individual and combined anaerobic and cold stress. BMC Genomics 24, 185 (2023). https://doi.org/10.1186/s12864-023-09262-z
  • Cerit Mustafa, Zhen Wang, Mehmet Dogan, Shuhao Yu. Jorge L. Valenzuela-Antelo, Chenggen Chu, Shichen Wang, Qingwu Xue, Amir M. H. Ibrahim, Jackie C. Rudd, Richard Metz, Charles D. Johnson, Shuyu Liu. Mapping QTL for Yield and Its Component Traits Using Wheat (Triticum aestivum L.) RIL Mapping Population from TAM 113 × Gallagher. Agronomy 2023, 13(9), 2402; https://doi.org/10.3390/agronomy13092402
  • Kylie G. Bendele , Felix D. Guerrero , Kimberly H. Lohmeyer, Lane D. Foil , Richard P. Metz , Charles D. Johnson Horn fly transcriptome data of ten populations from the southern United States with varying degrees and molecular mechanisms of pesticide resistance. Data in Brief , ISSN 2352-3409,
    https://doi.org/10.1016/j.dib.2023.109272 online 30 May 2023
  • Ranjita Thapa, Rodante E. Tabien, Charles D. Johnson and Endang M. Septiningsih . Comparative transcriptomic analysis of germinating rice seedlings to individual and combined anaerobic and cold stress. BMC Genomics 2023 https://doi.org/10.1186/s12864-023-09262

2022

  • Ze-Tian Fang, Rajan Kapoor, Aniruddha Datta, Shuyu Liu, Matthew A. Stull, Paige G. Seitz, Charles D. Johnson, and Sakiko Okumoto. Transcriptome Analysis of Developing Grains from Wheat Cultivars TAM 111 and TAM 112 Reveal Cultivar-Specific Regulatory Networks Int. J. Mol. Sci. 2022, 23(20), 12660; https://doi.org/10.3390/ijms232012660
  • Bed Prakash Bhatta · Takshay Patel · Edgar Correa · Todd C. Wehner · Kevin M. Crosby ·Michael J. Thomson · Richard Metz · Shichen Wang · Marcel Brun · Charles D. Johnson · Subas Malla. Dissection of race 1 anthracnose resistance in a watermelon (Citrullus lanatus var. lanatus) biparental mapping population. Vol.: (0123456789) 1 3 Euphytica (2022) 218:157 https://doi.org/10.1007/s10681-022-03108-7
  • Kelsey Michelle Wells, Kai He, Aseem Pandey, Ana Cabello, Dongmei Zhang, Jing Yang, Gabriel Gomez, Yue Liu, Haowu Chang, Xueqiang Li, Hao Zhang, Xuehuang Feng, Luciana Fachini da Costa, Richard Metz, Charles D Johnson, Cameron Lee Martin, Jill Skrobarczyk, Luc R Berghman, Kristin L Patrick, Julian Leibowitz, Allison Ficht, Sing-Hoi Sze, Jianxun Song, Xiaoning Qian, Qing-Ming Qin, Thomas A Ficht, Paul de Figueiredo. Brucella activates the host RIDD pathway to subvert BLOS1-directed immune defense. eLife. 2022; 11: e73625. Published online 2022 May 19. doi: 10.7554/eLife.73625
  • Kelsey Michelle Wells, Kai He, Aseem Pandey, Ana Cabello, Dongmei Zhang, Jing Yang, Gabriel Gomez, Yue Liu, Haowu Chang, Xueqiang Li, Hao Zhang, Xuehuang Feng, Luciana Fachini da Costa,Richard Metz,Charles D Johnson, Cameron Lee Martin, Jill Skrobarczyk, Luc R Berghman,Kristin L Patrick,Julian Leibowitz, Allison Ficht, Sing-Hoi Sze,Jianxun Song,Xiaoning Qian,Qing-Ming Qin,Thomas A Ficht, and Paul de Figueiredo.  Brucella activates the host RIDD pathway to subvert BLOS1-directed immune defense. eLife. 2022; 11: e73625. Published online 2022 May 19. doi: 10.7554/eLife.73625
  • Chenggen Chu, Shichen Wang, Jackie C. Rudd, Amir M. H. Ibrahim, Qingwu Xue, Ravindra N. Devkota, Jason A. Baker, Shannon Baker, Bryan Simoneaux, Geraldine Opena, Haixiao Dong, Xiaoxiao Liu, Kirk E. Jessup, Ming-Shun Chen, Kele Hui, Richard Metz, Charles D. Johnson, Zhiwu S. Zhang & Shuyu Liu . Molecular Breeding volume 42, Article number: 18 (2022). A new strategy for using historical imbalanced yield data to conduct genome-wide association studies and develop genomic prediction models for wheat breeding. volume 39 (3), in 2022. DOI https://doi.org/10.1007/s11032-022-01287-8

2021

  • C.L. Hunt, L. Yu, M. Cochran, J.-C. Liu, B. McCarl, C.D. Johnson, M. Brun & M. Berquist. A case study approach to high-containment laboratory workflows promoting sustainability, networking, and innovation. Scientific and Technical Review of the OIE. volume 39 (3), in 2021.
  • Chenggen Chu, Shichen Wang,, Li Paetzold, Zhen Wang, Kele Hui, Jackie C. Rudd, Qingwu Xue, Amir M. H. Ibrahim, Richard Metz, Charles D. Johnson, Charles M. Rush, Shuyu Liu. RNA-seq analysis reveals different drought tolerance mechanisms in two broadly adapted wheat cultivars ‘TAM 111’ and ‘TAM 112’ doi: https://doi.org/10.1038/s41598-021-83372-0
  • Felix D Guerrero, Noushin Ghaffari, Kylie G Bendele, Richard P Metz, C Michael Dickens, Philip D Blood, Jason Tidwell, Robert J Miller, Adalberto A Pérez de León, Pete D Teel, Charles D Johnson. Raw Pacific Biosciences and Illumina sequencing reads and assembled genome data for the cattle ticks Rhipicephalus microplus and Rhipicephalus annulatus. Data In Brief. Volume 35, 2021, 106852, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2021.106852

2020

  • C L Hunt, L Yu, M Cochran, J-C Liu, B Mccarl, C D Johnson, M Brun, M Berquist. A case study approach to high-containment laboratory workflows promoting sustainability, networking and innovation Rev Sci Tech. 2020 Jan;39(3):663-673. doi: 10.20506/rst.39.3.3169.
  • Yan Yang, Smit Dhakal, Chenggen Chu, Shichen Wang, Qingwu Xue, Jackie C. Rudd, Amir M.H. Ibrahim, Kirk Jessup, Jason Baker, Maria Pilar Fuentealba, Ravindra Devkota, Shannon Baker, Charles D. Johnson, Richard Metz, Shuyu Liu. Genome wide identification of QTL associated with yield and yield components in two popular wheat cultivars TAM 111 and TAM 112 doi: https://doi.org/10.1101/2020.07.27.222703 2020
  • Chenxi Qiu, Huiyan Jin, Irina Vvedenskaya, Jordi Abante Llenas, Tingting Zhao, Indranil Malik, Alex M. Visbisky, Scott L. Schwartz, Ping Cui, Pavel Čabart, Kang Hoo Han, William K. M. Lai, Richard P. Metz, Charles D. Johnson, Sing-Hoi Sze, B. Franklin Pugh, Bryce E. Nickels, Craig D. Kaplan. Promoter scanning during transcription initiation in Saccharomyces cerevisiae: Pol II in the “shooting gallery”doi: https://doi.org/10.1101/810127 2020
  • Anne N Thorndike ,Jessica L McCurley ,Emily D Gelsomin ,Eric B Rimm,Yuchiao Chang,Bianca Porneala,Emma Anderson, Charles D. Johnson, Douglas E Levy. MP07: Automated, Personalized Feedback and Behavioral Nudges to Improve Workplace Food Choices and Prevent Weight Gain: Choosewell 365 Randomized Controlled Trial. 2 Mar 2020https://doi.org/10.1161/circ.141.suppl_1.MP07Circulation. 2020;141:AMP07
  • Christopher M Seabury, David L Oldeschulte, Eric K Bhattarai, Dhruti Legare, Pamela J Ferro, Richard P Metz, Charles D Johnson, Mitchell A Lockwood, Tracy A Nichols. Accurate Genomic Predictions for Chronic Wasting Disease in US White-Tailed Deer G3: Genes, Genomes, Genetics April 1, 2020 vol. 10 no. 4 1433-1441; https://doi.org/10.1534/g3.119.401002
  • Nancy H Ing, Kranti Konganti, Noushin Ghaffari, Charles D Johnson, David W Forrest, Charles C Love, Dickson D Varner. Identification and quantification of coding and long non‐coding RNAs in stallion spermatozoa separated by density 03 April 2020 https://doi.org/10.1111/andr.12791 Song, Q., Joshi, M., Wang, S. et al. Comparative Analysis of Root Transcriptome Profiles of Sesame (Sesamum indicum L.) in Response to Osmotic Stress. J Plant Growth Regul (2020). https://doi.org/10.1007/s00344-020-10230-0
  • Universal promoter scanning by Pol II during transcription initiation in Saccharomyces cerevisiae. Chenxi Qiu, Huiyan Jin, Irina Vvedenskaya, Jordi Abante Llenas, Tingting Zhao, Indranil Malik, Alex M Visbisky, Scott L Schwartz, Ping Cui, Pavel Čabart, Kang Hoo Han, William KM Lai, Richard P Metz, Charles D Johnson, Sing-Hoi Sze, B Franklin Pugh, Bryce E Nickels, Craig D Kaplan. Genome Biol 21, 132 (2020). https://doi.org/10.1186/s13059-020-02040-0

2019

2018

  • Jan E Janečka, Brian W Davis, Sharmila Ghosh, Nandina Paria, Pranab J Das, Ludovic Orlando, Mikkel Schubert, Martin K Nielsen, Tom AE Stout, Wesley Brashear, Gang Li, Charles D Johnson, Richard P Metz, Charles C Love, Dickson D Varner, Daniel W Bellott, William J Murphy, Bhanu P Chowdhary, Terje Raudsepp Horse Y chromosome assembly displays unique evolutionary features and putative stallion fertility genes. Nature Communicationsvolume 9, Article number: 2945 (2018)
  • NH Ing, K Konganti, N Ghaffari, CD Johnson, DW Forrest, CC Love, DD Varner Functional RNAs in Stallion Sperm: Potential Indicators of Sperm Quality and Contributors to Fertility. Journal of Equine Veterinary Science. Volume 66, July 2018 https://doi.org/10.1016/j.jevs.2018.05.011
  • Brun M, Stull MA, Howard E, Hill J, Metz R, Johnson CD (2018) Comparison of MiSeq, iSeq and NovaSeq. In: Texas A&M AgriLife Genomics Bioinforma Serv, pp 2–4. . Comparison of MiSeq, iSeq and NovaSeq. 2018 https://www.txgen.tamu.edu/wp-content/uploads/2018/09/iSeq_MiSeq_NovaSeq-test_v03-1.pdf

2017

  • Bin Tian, Shichen Wang, Timothy C. Todd, Charles D. Johnson, Guiliang Tang, and Harold N. Trick Genome-wide identification of soybean microRNA responsive to soybean cyst nematodes infection by deep sequencing. BMC Genomics 2017. 2 August 2017 18:572 https://doi.org/10.1186/s12864-017-3963-4 Link
  • David L. Oldeschulte, Yvette A. Halley, Miranda L. Wilson, Eric K. Bhattarai, Wesley Brashear, Joshua Hill, Richard P. Metz, Charles D. Johnson, Dale Rollins, Markus J. Peterson, Derek M. Bickhart, Jared E. Decker, John F. Sewell and Christopher M. Seabury.  Annotated Draft Genome Assemblies for the Northern Bobwhite (Colinus virginianus) and the Scaled Quail (Callipepla squamata) Reveal Disparate Estimates of Modern Genome Diversity and Historic Effective Population Size. G3: Genes, Genomes, Genetics  July 17, 2017; Link
  • Heidi M. Blank, Ricardo Perez, Chong He, Nairita Maitra, Richard Metz, Joshua Hill, Yuhong Lin, Charles D. Johnson, Vytas A. Bankaitis, Brian K. Kennedy, Rodolfo Aramayo and Michael Polymenis. Translational control of lipogenic enzymes in the cell cycle of synchronous, growing yeast cells. 2017 DOI 10.15252/embj.201695050 | Published online 05.01.2017 The EMBO Journal (2017) e201695050 (Article ID: EMBJ788)

2016

  • Noushin Ghaffari, Jordi Abante, Raminder Singh, Philip D. Blood, Charles D. Johnson. Computational Considerations in Transcriptome Assemblies and Their Evaluation, using High Quality Human RNA-Seq data July 17 – 21, 2016 ISBN: 978-1-4503-4755-6
  • NH Ing, K Konganti, N Ghaffari, CD Johnson, DW Forrest, CC Love, DD Varner. Sequencing of RNA from stallion sperm identifies potential markers of fertility. 2016 Journal of Equine Veterinary Science, S56eS82
  • Maria F. Torres, Noushin Ghaffari, Ester A. S. Buiate, Neil Moore, Scott Schwartz, Charles D. Johnson and Lisa J. Vaillancourt. Colletotrichum graminicola mutant deficient in the establishment of biotrophy reveals early transcriptional events in the maize anthracnose disease interaction. BMC Genomics 201617:202. DOI:10.1186/s12864-016-2546-0. 8 March 2016

2015

  • Yvette A. Halley, David L. Oldeschulte, Eric K. Bhattarai, Joshua Hill, Richard P. Metz, Charles D. Johnson, Steven M. Presley, Rebekah E. Ruzicka, Dale Rollins, Markus J. Peterson, William J. Murphy, Christopher M. Seabury. (2015) Northern Bobwhite (Colinus virginianus) Mitochondrial Population Genomics Reveals Structure, Divergence, and Evidence for Heteroplasmy. PLoS ONE 10(12): e0144913. doi: 10.1371/journal.pone.0144913
  • Ghaffari, N.; Arshad, O.A.; Jeong, H.; Thiltges, J.; Criscitiello, M.F.; Yoon, Byung-Jun; Datta, A.; Johnson, C.D., “Examining De Novo Transcriptome Assemblies via a Quality Assessment Pipeline,” Computational Biology and Bioinformatics, IEEE/ACM Transactions on , vol.PP, no.99, pp.1,1 doi: 10.1109/TCBB.2015.2446478
  • Masoud Toloue , Jan Risinger , Lindsey Renken , Josh Hill , Noushin Ghaffari , Richard P Metz , Charles D. Johnson , Amplicon Based 16S Ribosomal RNA Sequencing and Genus Identification – Mixed Species Plant and Animal Genome XXIII Conference 2015.

More Publications

To start a sequencing project please contact us at txgen@ag.tamu.edu

To start a sequencing project please contact us at txgen@ag.tamu.edu