Grant Hill-Cawthorne | The University of Sydney (original) (raw)

Grant Hill-Cawthorne

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Papers by Grant Hill-Cawthorne

Research paper thumbnail of TB Profiler

This tool processes raw sequence data to infer strain type and identify known drug resistance mar... more This tool processes raw sequence data to infer strain type and identify known drug resistance markers. It is for Research Use Only and has not been approved, cleared, or licensed by any regulatory authority

Research paper thumbnail of The Use of Genomics in Microbiology: From Vaccines to Drug Resistance

Research paper thumbnail of Additional file 2: of Diversity of Salmonella serotypes from humans, food, domestic animals and wildlife in New South Wales, Australia

Details of sample types included in each sample category. (DOCX 17 kb)

Research paper thumbnail of Additional file 9 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 9. Python script to compare variants between different isolates or groups of isol... more Additional file 9. Python script to compare variants between different isolates or groups of isolates, developed by Dr. R.G. van der Merwe.

Research paper thumbnail of Hajj vaccinations—facts, challenges, and hope

International Journal of Infectious Diseases, 2016

Research paper thumbnail of The role of sentinel node biopsy in patients with a pre-operative diagnosis of ductal carcinoma in situ

European Journal of Cancer Supplements, 2008

Research paper thumbnail of Identification, testing, and support are key in chronic hepatitis B

Research paper thumbnail of Unraveling Mycobacterium tuberculosis genomic diversity and evolution in Lisbon, Portugal, a highly drug resistant setting

Research paper thumbnail of Additional file 3: of Diversity of Salmonella serotypes from humans, food, domestic animals and wildlife in New South Wales, Australia

Top ten most frequently isolated serotypes from each sample category, including number of isolate... more Top ten most frequently isolated serotypes from each sample category, including number of isolates per serotype and percentage of isolates attributable to each serotype. S. Monophasic â other refers to serotypes, other than S. Typhimurium, that are missing an H antigen and are therefore not able to be typed as a particular serotype. (DOCX 54 kb)

Research paper thumbnail of Additional file 1: of Diversity of Salmonella serotypes from humans, food, domestic animals and wildlife in New South Wales, Australia

A brief description of each organisation/system that provided data for the study. (DOCX 15 kb)

Research paper thumbnail of Additional file 8 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 8. Automated sequence analysis pipeline developed by Dr. R.G. van der Merwe.

Research paper thumbnail of Additional file 3 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 3. SNP distance matrix. Each cell represents the number of single nucleotide diff... more Additional file 3. SNP distance matrix. Each cell represents the number of single nucleotide differences between two isolates, as indicated in the column header and leading column.

Research paper thumbnail of Additional file 2 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 2. Detailed record of sequencing metrics as well as sampling date, origin and gen... more Additional file 2. Detailed record of sequencing metrics as well as sampling date, origin and genotypic classification for each isolate.

Research paper thumbnail of Additional file 1 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 1. Genes observed in this study to carry drug resistance conferring mutations.

Research paper thumbnail of Additional file 10 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 10. Python script to generate a SNP distance matrix, developed by Dr. R.G. van de... more Additional file 10. Python script to generate a SNP distance matrix, developed by Dr. R.G. van der Merwe.

Research paper thumbnail of Additional file 7 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 7. S7a Time tree methods and caption to additional file (Time tree).S7b. Figure d... more Additional file 7. S7a Time tree methods and caption to additional file (Time tree).S7b. Figure demonstrating the time tree, with estimated dates of divergence indicated.

Research paper thumbnail of Additional file 6 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 6. Number of isolates with underlying (read frequency

Research paper thumbnail of Additional file 5 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 5. Tables indicating the nucleotide- and amino acid changes that occur in all mem... more Additional file 5. Tables indicating the nucleotide- and amino acid changes that occur in all members of each of the AA1SA clades A through C, as well as additional information regarding gene function and Provean predictions.

Research paper thumbnail of Additional file 4 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 4. AA1SA defining variants. Each variant listed occurs in all investigated AA1SA ... more Additional file 4. AA1SA defining variants. Each variant listed occurs in all investigated AA1SA isolates, but not in any other strain investigated in this study.

Research paper thumbnail of Future directions for public health research in emerging infectious diseases

Public Health Research & Practice, 2016

Research paper thumbnail of TB Profiler

This tool processes raw sequence data to infer strain type and identify known drug resistance mar... more This tool processes raw sequence data to infer strain type and identify known drug resistance markers. It is for Research Use Only and has not been approved, cleared, or licensed by any regulatory authority

Research paper thumbnail of The Use of Genomics in Microbiology: From Vaccines to Drug Resistance

Research paper thumbnail of Additional file 2: of Diversity of Salmonella serotypes from humans, food, domestic animals and wildlife in New South Wales, Australia

Details of sample types included in each sample category. (DOCX 17 kb)

Research paper thumbnail of Additional file 9 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 9. Python script to compare variants between different isolates or groups of isol... more Additional file 9. Python script to compare variants between different isolates or groups of isolates, developed by Dr. R.G. van der Merwe.

Research paper thumbnail of Hajj vaccinations—facts, challenges, and hope

International Journal of Infectious Diseases, 2016

Research paper thumbnail of The role of sentinel node biopsy in patients with a pre-operative diagnosis of ductal carcinoma in situ

European Journal of Cancer Supplements, 2008

Research paper thumbnail of Identification, testing, and support are key in chronic hepatitis B

Research paper thumbnail of Unraveling Mycobacterium tuberculosis genomic diversity and evolution in Lisbon, Portugal, a highly drug resistant setting

Research paper thumbnail of Additional file 3: of Diversity of Salmonella serotypes from humans, food, domestic animals and wildlife in New South Wales, Australia

Top ten most frequently isolated serotypes from each sample category, including number of isolate... more Top ten most frequently isolated serotypes from each sample category, including number of isolates per serotype and percentage of isolates attributable to each serotype. S. Monophasic â other refers to serotypes, other than S. Typhimurium, that are missing an H antigen and are therefore not able to be typed as a particular serotype. (DOCX 54 kb)

Research paper thumbnail of Additional file 1: of Diversity of Salmonella serotypes from humans, food, domestic animals and wildlife in New South Wales, Australia

A brief description of each organisation/system that provided data for the study. (DOCX 15 kb)

Research paper thumbnail of Additional file 8 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 8. Automated sequence analysis pipeline developed by Dr. R.G. van der Merwe.

Research paper thumbnail of Additional file 3 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 3. SNP distance matrix. Each cell represents the number of single nucleotide diff... more Additional file 3. SNP distance matrix. Each cell represents the number of single nucleotide differences between two isolates, as indicated in the column header and leading column.

Research paper thumbnail of Additional file 2 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 2. Detailed record of sequencing metrics as well as sampling date, origin and gen... more Additional file 2. Detailed record of sequencing metrics as well as sampling date, origin and genotypic classification for each isolate.

Research paper thumbnail of Additional file 1 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 1. Genes observed in this study to carry drug resistance conferring mutations.

Research paper thumbnail of Additional file 10 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 10. Python script to generate a SNP distance matrix, developed by Dr. R.G. van de... more Additional file 10. Python script to generate a SNP distance matrix, developed by Dr. R.G. van der Merwe.

Research paper thumbnail of Additional file 7 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 7. S7a Time tree methods and caption to additional file (Time tree).S7b. Figure d... more Additional file 7. S7a Time tree methods and caption to additional file (Time tree).S7b. Figure demonstrating the time tree, with estimated dates of divergence indicated.

Research paper thumbnail of Additional file 6 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 6. Number of isolates with underlying (read frequency

Research paper thumbnail of Additional file 5 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 5. Tables indicating the nucleotide- and amino acid changes that occur in all mem... more Additional file 5. Tables indicating the nucleotide- and amino acid changes that occur in all members of each of the AA1SA clades A through C, as well as additional information regarding gene function and Provean predictions.

Research paper thumbnail of Additional file 4 of A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic

Additional file 4. AA1SA defining variants. Each variant listed occurs in all investigated AA1SA ... more Additional file 4. AA1SA defining variants. Each variant listed occurs in all investigated AA1SA isolates, but not in any other strain investigated in this study.

Research paper thumbnail of Future directions for public health research in emerging infectious diseases

Public Health Research & Practice, 2016

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