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  1. AU="Hill, William"
  2. AU="Ken M. Cadigan"
  3. AU="Lee, Hyun-Shik"
  4. AU="Martini, Denise"
  5. AU=Aziz Noreen M
  6. AU="Ho, Tony"
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  1. Article ; Online: Annotation and visualization of parasite, fungi and arthropod genomes with Companion.

    Haese-Hill, William / Crouch, Kathryn / Otto, Thomas D

    Nucleic acids research

    2024  

    Abstract: As sequencing genomes has become increasingly popular, the need for annotation of the resulting assemblies is growing. Structural and functional annotation is still challenging as it includes finding the correct gene sequences, annotating other elements ... ...

    Abstract As sequencing genomes has become increasingly popular, the need for annotation of the resulting assemblies is growing. Structural and functional annotation is still challenging as it includes finding the correct gene sequences, annotating other elements such as RNA and being able to submit those data to databases to share it with the community. Compared to de novo assembly where contiguous chromosomes are a sign of high quality, it is difficult to visualize and assess the quality of annotation. We developed the Companion web server to allow non-experts to annotate their genome using a reference-based method, enabling them to assess the output before submitting to public databases. In this update paper, we describe how we have included novel methods for gene finding and made the Companion server more efficient for annotation of genomes of up to 1 Gb in size. The reference set was increased to include genomes of interest for human and animal health from the fungi and arthropod kingdoms. We show that Companion outperforms existing comparable tools where closely related references are available.
    Language English
    Publishing date 2024-05-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 186809-3
    ISSN 1362-4962 ; 1362-4954 ; 0301-5610 ; 0305-1048
    ISSN (online) 1362-4962 ; 1362-4954
    ISSN 0301-5610 ; 0305-1048
    DOI 10.1093/nar/gkae378
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1067: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Book ; Online: Mormon Trail, The

    Hill, William

    Yesterday and Today

    1996  

    Keywords Humanities ; History of the Americas ; Christian Churches & denominations ; History ; Religion
    Language English
    Size 1 Online-Ressource
    Publisher University Press of Colorado
    Document type Book ; Online
    Note English
    HBZ-ID HT030612567
    ISBN 9780874212020 ; 0874212022
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: peaks2utr: a robust Python tool for the annotation of 3' UTRs.

    Haese-Hill, William / Crouch, Kathryn / Otto, Thomas D

    Bioinformatics (Oxford, England)

    2023  Volume 39, Issue 3

    Abstract: Summary: Annotation of nonmodel organisms is an open problem, especially the detection of untranslated regions (UTRs). Correct annotation of UTRs is crucial in transcriptomic analysis to accurately capture the expression of each gene yet is mostly ... ...

    Abstract Summary: Annotation of nonmodel organisms is an open problem, especially the detection of untranslated regions (UTRs). Correct annotation of UTRs is crucial in transcriptomic analysis to accurately capture the expression of each gene yet is mostly overlooked in annotation pipelines. Here we present peaks2utr, an easy-to-use Python command line tool that uses the UTR enrichment of single-cell technologies, such as 10× Chromium, to accurately annotate 3' UTRs for a given canonical annotation.
    Availability and implementation: peaks2utr is implemented in Python 3 (≥3.8). It is available via PyPI at https://pypi.org/project/peaks2utr and GitHub at https://github.com/haessar/peaks2utr. It is licensed under GNU GPLv3.
    MeSH term(s) 3' Untranslated Regions ; Software ; Gene Expression Profiling
    Chemical Substances 3' Untranslated Regions
    Language English
    Publishing date 2023-03-02
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btad112
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 2374: Show issues Location:
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  4. Article: An Analysis of Two Hundred and Twenty Cases of Pulmonary Consumption.

    Hill, William Robinson

    The British and foreign medico-chirurgical review

    2018  Volume 28, Issue 56, Page(s) 496–512

    Language English
    Publishing date 2018-08-07
    Publishing country England
    Document type Journal Article
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: An Analysis of Two Hundred and Twenty Cases of Pulmonary Consumption.

    Hill, William Robinson

    The British and foreign medico-chirurgical review

    2018  Volume 29, Issue 57, Page(s) 191–202

    Language English
    Publishing date 2018-08-07
    Publishing country England
    Document type Journal Article
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book: Evolution and animal breeding

    Hill, William George

    reviews on molecular and quantitative approaches in honour of Alan Robertson

    1989  

    Author's details ed. by William G. Hill
    Keywords Tierzucht ; Genetik
    Subject Allgemeine Genetik ; Erbbiologie ; Erbforschung ; Erblehre ; Vererbungslehre ; Vererbungswissenschaft ; Erblichkeitslehre ; Tierzüchtung ; Tiere
    Size XII, 313 S. : graph. Darst.
    Publisher CAB
    Publishing place Wallingford, Oxon
    Publishing country Great Britain
    Document type Book
    HBZ-ID HT003556464
    ISBN 0-85198-639-0 ; 978-0-85198-639-5
    Database Catalogue ZB MED Nutrition, Environment, Agriculture

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    In stock of ZB MED Bonn / Germany

    Shelf markLoan statusLocation
    898/2040 order for loan Geschlossenes Magazin (U2)

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  7. Article ; Online: Accounting for dimensional differences in stochastic domain invasion with applications to precancerous cell removal.

    Woolley, Thomas E / Hill, William / Hogan, Catherine

    Journal of theoretical biology

    2022  Volume 541, Page(s) 111024

    Abstract: We consider a specific form of domain invasion that is an abstraction of pancreatic tissue eliminating precancerous mutant cells through juxtacrine signalling. The model is explored discretely, continuously, stochastically and deterministically, ... ...

    Abstract We consider a specific form of domain invasion that is an abstraction of pancreatic tissue eliminating precancerous mutant cells through juxtacrine signalling. The model is explored discretely, continuously, stochastically and deterministically, highlighting unforeseen nonlinear dependencies on the dimension of the solution domain. Specifically, stochastically simulated populations invade with a dimension dependent wave speed that can be over twice as fast as their deterministic analogues. Although the wave speed can be analytically derived in the cases of small domains, the probabilistic state space grows exponentially and, thus, we use numeric simulation and curve fitting to predict limiting dynamics.
    MeSH term(s) Computer Simulation ; Humans ; Models, Biological ; Precancerous Conditions ; Signal Transduction ; Stochastic Processes
    Language English
    Publishing date 2022-01-30
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2972-5
    ISSN 1095-8541 ; 0022-5193
    ISSN (online) 1095-8541
    ISSN 0022-5193
    DOI 10.1016/j.jtbi.2022.111024
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 923: Show issues Location:
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  8. Article ; Online: Is Continued Genetic Improvement of Livestock Sustainable?

    Hill, William G

    Genetics

    2016  Volume 202, Issue 3, Page(s) 877–881

    Abstract: Large genetic improvements in the quantitative traits of growth, production, and efficiency of farmed livestock have been made over recent decades, and by introduction of genomic technology these are being enhanced. Such continued improvement requires ... ...

    Abstract Large genetic improvements in the quantitative traits of growth, production, and efficiency of farmed livestock have been made over recent decades, and by introduction of genomic technology these are being enhanced. Such continued improvement requires that there be available variation to utilize. The evidence is that little variation has been lost and such rates are indeed sustainable in the future.
    MeSH term(s) Agriculture/methods ; Animals ; Breeding ; Cattle ; Chickens/genetics ; Genetic Variation ; Genomics ; Livestock/genetics ; Quantitative Trait, Heritable ; Selection, Genetic
    Language English
    Publishing date 2016-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2167-2
    ISSN 1943-2631 ; 0016-6731
    ISSN (online) 1943-2631
    ISSN 0016-6731
    DOI 10.1534/genetics.115.186650
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    Zs.B 767: Show issues Location:
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  9. Article ; Online: Capturing cancer evolution using genetically engineered mouse models (GEMMs).

    Hill, William / Caswell, Deborah R / Swanton, Charles

    Trends in cell biology

    2021  Volume 31, Issue 12, Page(s) 1007–1018

    Abstract: Initiating from a single cell, cancer undergoes clonal evolution, leading to a high degree of intratumor heterogeneity (ITH). The arising genetic heterogeneity between cancer cells is influenced by exogenous and endogenous forces that shape the ... ...

    Abstract Initiating from a single cell, cancer undergoes clonal evolution, leading to a high degree of intratumor heterogeneity (ITH). The arising genetic heterogeneity between cancer cells is influenced by exogenous and endogenous forces that shape the composition of clones within tumors. Preclinical mouse models have provided a valuable tool for understanding cancer, helping to build a fundamental understanding of tumor initiation, progression, and metastasis. Until recently, genetically engineered mouse models (GEMMS) of cancer had lacked the genetic diversity found in human tumors, in which evolution may be driven by long-term carcinogen exposure and DNA damage. However, advances in sequencing technology and in our understanding of the drivers of genetic instability have given us the knowledge to generate new mouse models, offering an approach to functionally explore mechanisms of tumor evolution.
    MeSH term(s) Animals ; Cell Transformation, Neoplastic/genetics ; Clonal Evolution ; Disease Models, Animal ; Humans ; Mice ; Neoplasms/genetics ; Neoplasms/pathology
    Language English
    Publishing date 2021-08-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 30122-x
    ISSN 1879-3088 ; 0962-8924
    ISSN (online) 1879-3088
    ISSN 0962-8924
    DOI 10.1016/j.tcb.2021.07.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.MG 25: Show issues
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    Zs.A 3410: Show issues Location:
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  10. Article ; Online: Impact of risk factors on early cancer evolution.

    Weeden, Clare E / Hill, William / Lim, Emilia L / Grönroos, Eva / Swanton, Charles

    Cell

    2023  Volume 186, Issue 8, Page(s) 1541–1563

    Abstract: Recent identification of oncogenic cells within healthy tissues and the prevalence of indolent cancers found incidentally at autopsies reveal a greater complexity in tumor initiation than previously appreciated. The human body contains roughly 40 ... ...

    Abstract Recent identification of oncogenic cells within healthy tissues and the prevalence of indolent cancers found incidentally at autopsies reveal a greater complexity in tumor initiation than previously appreciated. The human body contains roughly 40 trillion cells of 200 different types that are organized within a complex three-dimensional matrix, necessitating exquisite mechanisms to restrain aberrant outgrowth of malignant cells that have the capacity to kill the host. Understanding how this defense is overcome to trigger tumorigenesis and why cancer is so extraordinarily rare at the cellular level is vital to future prevention therapies. In this review, we discuss how early initiated cells are protected from further tumorigenesis and the non-mutagenic pathways by which cancer risk factors promote tumor growth. By nature, the absence of permanent genomic alterations potentially renders these tumor-promoting mechanisms clinically targetable. Finally, we consider existing strategies for early cancer interception with perspectives on the next steps for molecular cancer prevention.
    MeSH term(s) Humans ; Carcinogenesis ; Cell Transformation, Neoplastic ; Genomics/methods ; Neoplasms/epidemiology ; Neoplasms/genetics ; Neoplasms/metabolism ; Neoplasms/pathology ; Risk Factors
    Language English
    Publishing date 2023-04-12
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 187009-9
    ISSN 1097-4172 ; 0092-8674
    ISSN (online) 1097-4172
    ISSN 0092-8674
    DOI 10.1016/j.cell.2023.03.013
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