Oxford bodleian thesis

Lawrence scholarship. Rejected legend. David Lean's Lawrence of Arabia. About this site. Cookies policy. References used on the site.

Jeremy Wilson. The great majority of Lawrence's known correspondence is now in libraries. However, in most years a few letters come on to the market. Sometimes these are previously unrecorded and of excellent quality. Likewise, most of the known major manuscripts are in institutional collections. The list below gives their current locations. Nevertheless, interesting manuscript material surfaces from time to time.

Collateral manuscripts and correspondence, and association copies of books, appear more frequently. The thesis submitted by Lawrence as part of his final examinations for history at Oxford University. The Bodleian Library, Oxford holds early manuscript draft of part of the thesis and a number of photographs and sketches.

Magdalen College, Oxford holds the maps prepared for the thesis and some plans and sketches. Jesus College, Oxford holds the typed 'Examiners' Copy', with the original illustrations. This carries some later manuscript annotations by Lawrence. The Houghton Library, Harvard holds the typed 'rough copy', which also has some later manuscript annotations by Lawrence. The Bodleian Library.

Oxford, holds a proof of the Golden Cockerel Press edition of the thesis marked up in the margins by the editor, A.

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Lawrence, to show Lawrence's annotations in the Examiners' Copy and rough copy typescripts above. Diary Diary kept by Lawrence during a walking tour in the Middle East in The Henry E. Doughty's Travels in Arabia Deserta. A private collector holds a carbon-copy typescript of the opening chapters of the first draft, , of which the original manuscript was lost.

Published in T. The Bodleian Library, Oxford, holds a single surviving leaf of the second draft, written early in Lawrence stated that he burned the remainder Published in facsimile in T. This was based on the second draft of Seven Pillars. Most of the chapters were published in the s, with editorial amendments, as articles in magazines and journals. A private collector owns a typescript of the eight chapters with pencil corrections, some apparently by Lawrence.

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Lawrence had eight copies of this text printed by the Oxford Times printing works on a proofing press. I of five copies of the Oxford Times proof printing see above that Lawrence corrected by hand and had bound in Copy No. The other four copies bound and corrected by Lawrence in are in the Bodleian Library, the British Library 2 copies , and the Henry E. Huntington Library and Art Gallery. A sixth copy survives, see The Arab War , below.

This is a set of pages from the Oxford Times proof-printing heavily annotated by Lawrence. It is believed that he destroyed the remainder of the draft for the subscribers' abridgement. The Houghton Library, Harvard, holds the draft abridgement of the 'Oxford' text made in the autumn of by Edward Garnett and T.

In letters to Jonathan Cape Lawrence mentioned both a manuscript and a corrected typescript.

If they survive, their location is not recorded. Popular abridgement of the subscribers' text of Seven Pillars of Wisdom Bernard Shaw, in his review, described it as 'an abridgement of an abridgement'. Lawrence published Revolt to repay the debts he had incurred on the lavish subscribers' edition.


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HRC Texas holds Lawrence's pencil draft of the abridgement, made on a set of spoiled proofs of the subscribers' edition. The Bodleian Library, Oxford, holds on deposit the fair copy of the abridgement sent to Jonathan Cape for typesetting, together with drafts of several additional paragraphs inserted to justify including particular illustrations. There he made detailed notes, for what was intended to be a large-scale book about life in the ranks.

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    Oxford Theses

    PhD thesis, University of Oxford. Advances in high-throughput genomic technologies have facilitated the collection of DNA information for thousands of individuals, providing unprecedented opportunities to explore the genetic architecture of complex disease. One important finding has been that the majority of variants in the human genome are low in frequency or rare. It has been hypothesised that recent explosive growth of the human population afforded unexpectedly large amounts of rare variants with potentially deleterious effects, suggesting that rare variants may play a role in disease predisposition.

    But, importantly, rare variants embody a source of information through which we may learn more about our recent evolutionary history. In this thesis, I developed several statistical and computational methods to address problems associated with the analysis of rare variants and, foremost, to leverage the genealogical information they encode. First, one constraint in genome-wide association studies is that lower-frequency variants are not well captured by genotyping methods, but instead are predicted through imputation from a reference dataset.

    I further demonstrated in simulated case-control studies that meta-imputation increased the statistical power to identify low-frequency variants of intermediate or high penetrance by 2. Second, rare variants are likely to have originated recently through mutation and thereby sit on relatively long haplotype regions identical by descent IBD. I developed a method that exploits rare variants as identifiers for shared haplotype segments around which the breakpoints of recombination are detected using non-probabilistic approaches.

    Third, I show that technical error poses a major problem for the analysis of whole-genome sequencing or genotyping data, particularly for alleles below 0. I incorporated an empirical error model constructed from error rates I estimated in publicly available sequencing and genotyping datasets. Lastly, the age of an allele the time since its creation through mutation may provide clues about demographic processes that resulted in its observed frequency.

    I present a novel method to estimate rare allele age based on the inferred shared haplotype structure of the sample. The method operates in a Bayesian framework to infer pairwise coalescent times from which the age is estimated using a composite posterior approach.