A presentation on morphological and molecular phylogenetic studies on insects and flies given at the 30th Willi Hennig Society Meeting in July-August 2011.
Identifying genes and proteins in text: a short review of available tools and...Biogeeks
Nathan from Imperial College London, gave a presentation at London Biogeeks on Thursday 24 Feb, between 6 - 6.30pm at King’s College London, Rm 1.20, Franklin Wilkins Building, Waterloo Campus, Stamford Street, London, SE1 9NH, see: biogeeks.wordpress.com/2011/02/16/ february-tech-meet-24th-kcl/
His presentation was about identifying genes and proteins in text: a short review of available tools and resources
Abstract below:
The ever-increasing publication rate now means that manually extracting information from biological papers is now intractable. This situation has led to a sustained interest in the application of text mining (TM) methods to the biological literature. The first stage in any text-mining pipeline is to recognise named entities in text (a process called Named Entity Recognition or NER). I will discuss the basic concepts behind these methods and provide a basic evaluation of some of the freely available software (standalone and web services).
Identifying genes and proteins in text: a short review of available tools and...Biogeeks
Nathan from Imperial College London, gave a presentation at London Biogeeks on Thursday 24 Feb, between 6 - 6.30pm at King’s College London, Rm 1.20, Franklin Wilkins Building, Waterloo Campus, Stamford Street, London, SE1 9NH, see: biogeeks.wordpress.com/2011/02/16/ february-tech-meet-24th-kcl/
His presentation was about identifying genes and proteins in text: a short review of available tools and resources
Abstract below:
The ever-increasing publication rate now means that manually extracting information from biological papers is now intractable. This situation has led to a sustained interest in the application of text mining (TM) methods to the biological literature. The first stage in any text-mining pipeline is to recognise named entities in text (a process called Named Entity Recognition or NER). I will discuss the basic concepts behind these methods and provide a basic evaluation of some of the freely available software (standalone and web services).
Morphological, Cytological and Biochemical MarkersJay Khaniya
I've put a lot of effort for create this presentation. This'll help to lot of biotechnology and agricultural students for there assignments and exam study.
Restriction mapping is a method used to map an unknown segment of DNA by breaking it into pieces and then identifying the locations of the breakpoints. This method relies upon the use of proteins called restriction enzymes, which can cut, or digest, DNA molecules at short, specific sequences called restriction sites.
BITS - Comparative genomics: gene family analysisBITS
This is the second presentation of the BITS training on 'Comparative genomics'.
It reviews the different methods of investigating sequence homology on the gene family level.
Thanks to Klaas Vandepoele of the PSB department.
Inference and informatics in a 'sequenced' worldJoe Parker
Short lecture relating my recent work on real-time phylogenomics, implications for bioinformatics research and future directions of genomic/phylogenetic modelling to explicitly account for phylogeny, synteny and identity through coloured graphs.
University of Reading, 2nd August 2017
Morphological, Cytological and Biochemical MarkersJay Khaniya
I've put a lot of effort for create this presentation. This'll help to lot of biotechnology and agricultural students for there assignments and exam study.
Restriction mapping is a method used to map an unknown segment of DNA by breaking it into pieces and then identifying the locations of the breakpoints. This method relies upon the use of proteins called restriction enzymes, which can cut, or digest, DNA molecules at short, specific sequences called restriction sites.
BITS - Comparative genomics: gene family analysisBITS
This is the second presentation of the BITS training on 'Comparative genomics'.
It reviews the different methods of investigating sequence homology on the gene family level.
Thanks to Klaas Vandepoele of the PSB department.
Inference and informatics in a 'sequenced' worldJoe Parker
Short lecture relating my recent work on real-time phylogenomics, implications for bioinformatics research and future directions of genomic/phylogenetic modelling to explicitly account for phylogeny, synteny and identity through coloured graphs.
University of Reading, 2nd August 2017
Research report (alternative splicing, protein structure; retinitis pigmentosa)avalgar
This presentation explains the two major scientific projects I have been involved in.
It extends way further than a CV, but shorter than an actual scientific paper.
Dissecting plant genomes with the PLAZA 2.5 comparative genomics platformKlaas Vandepoele
Dissecting plant genomes with the PLAZA comparative genomics platform.
Van Bel M, Proost S, Wischnitzki E, Movahedi S, Scheerlinck C, Van de Peer Y, Vandepoele K.
Plant Physiol. 2012 Feb;158(2):590-600.
With the arrival of low-cost, next-generation sequencing, a multitude of new plant genomes are being publicly released, providing unseen opportunities and challenges for comparative genomics studies. Here, we present PLAZA 2.5, a user-friendly online research environment to explore genomic information from different plants. This new release features updates to previous genome annotations and a substantial number of newly available plant genomes as well as various new interactive tools and visualizations. Currently, PLAZA hosts 25 organisms covering a broad taxonomic range, including 13 eudicots, five monocots, one lycopod, one moss, and five algae. The available data consist of structural and functional gene annotations, homologous gene families, multiple sequence alignments, phylogenetic trees, and colinear regions within and between species. A new Integrative Orthology Viewer, combining information from different orthology prediction methodologies, was developed to efficiently investigate complex orthology relationships. Cross-species expression analysis revealed that the integration of complementary data types extended the scope of complex orthology relationships, especially between more distantly related species. Finally, based on phylogenetic profiling, we propose a set of core gene families within the green plant lineage that will be instrumental to assess the gene space of draft or newly sequenced plant genomes during the assembly or annotation phase.
DNA Fingerprinting for Taxonomy and Phylogeny.pptxsharanabasapppa
Deoxyribonucleic acid, a self-replicating material which is present in all living organisms as the main constituent of chromosomes.
DNA is made up of molecules called nucleotides. Each nucleotide contains a phosphate group, a sugar group and a nitrogen base.
The four types of nitrogen bases are adenine (A), thymine (T), guanine (G) and cytosine (C). The order of these bases is what determinesDNA's instructions, or genetic code.
Detection of genomic homology in eukaryotic genomesKlaas Vandepoele
i-ADHoRe 3.0--fast and sensitive detection of genomic homology in extremely large data sets.
Proost S, Fostier J, De Witte D, Dhoedt B, Demeester P, Van de Peer Y, Vandepoele K.
Nucleic Acids Res. 2012 Jan;40(2):e11.
Comparative genomics is a powerful means to gain insight into the evolutionary processes that shape the genomes of related species. As the number of sequenced genomes increases, the development of software to perform accurate cross-species analyses becomes indispensable. However, many implementations that have the ability to compare multiple genomes exhibit unfavorable computational and memory requirements, limiting the number of genomes that can be analyzed in one run. Here, we present a software package to unveil genomic homology based on the identification of conservation of gene content and gene order (collinearity), i-ADHoRe 3.0, and its application to eukaryotic genomes. The use of efficient algorithms and support for parallel computing enable the analysis of large-scale data sets. Unlike other tools, i-ADHoRe can process the Ensembl data set, containing 49 species, in 1 h. Furthermore, the profile search is more sensitive to detect degenerate genomic homology than chaining pairwise collinearity information based on transitive homology. From ultra-conserved collinear regions between mammals and birds, by integrating coexpression information and protein-protein interactions, we identified more than 400 regions in the human genome showing significant functional coherence. The different algorithmical improvements ensure that i-ADHoRe 3.0 will remain a powerful tool to study genome evolution.
New Explore Careers and College Majors 2024.pdfDr. Mary Askew
Explore Careers and College Majors is a new online, interactive, self-guided career, major and college planning system.
The career system works on all devices!
For more Information, go to https://bit.ly/3SW5w8W
The Impact of Artificial Intelligence on Modern Society.pdfssuser3e63fc
Just a game Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?
Jill Pizzola's Tenure as Senior Talent Acquisition Partner at THOMSON REUTERS...dsnow9802
Jill Pizzola's tenure as Senior Talent Acquisition Partner at THOMSON REUTERS in Marlton, New Jersey, from 2018 to 2023, was marked by innovation and excellence.
NIDM (National Institute Of Digital Marketing) Bangalore Is One Of The Leading & best Digital Marketing Institute In Bangalore, India And We Have Brand Value For The Quality Of Education Which We Provide.
www.nidmindia.com
Want to move your career forward? Looking to build your leadership skills while helping others learn, grow, and improve their skills? Seeking someone who can guide you in achieving these goals?
You can accomplish this through a mentoring partnership. Learn more about the PMISSC Mentoring Program, where you’ll discover the incredible benefits of becoming a mentor or mentee. This program is designed to foster professional growth, enhance skills, and build a strong network within the project management community. Whether you're looking to share your expertise or seeking guidance to advance your career, the PMI Mentoring Program offers valuable opportunities for personal and professional development.
Watch this to learn:
* Overview of the PMISSC Mentoring Program: Mission, vision, and objectives.
* Benefits for Volunteer Mentors: Professional development, networking, personal satisfaction, and recognition.
* Advantages for Mentees: Career advancement, skill development, networking, and confidence building.
* Program Structure and Expectations: Mentor-mentee matching process, program phases, and time commitment.
* Success Stories and Testimonials: Inspiring examples from past participants.
* How to Get Involved: Steps to participate and resources available for support throughout the program.
Learn how you can make a difference in the project management community and take the next step in your professional journey.
About Hector Del Castillo
Hector is VP of Professional Development at the PMI Silver Spring Chapter, and CEO of Bold PM. He's a mid-market growth product executive and changemaker. He works with mid-market product-driven software executives to solve their biggest growth problems. He scales product growth, optimizes ops and builds loyal customers. He has reduced customer churn 33%, and boosted sales 47% for clients. He makes a significant impact by building and launching world-changing AI-powered products. If you're looking for an engaging and inspiring speaker to spark creativity and innovation within your organization, set up an appointment to discuss your specific needs and identify a suitable topic to inspire your audience at your next corporate conference, symposium, executive summit, or planning retreat.
About PMI Silver Spring Chapter
We are a branch of the Project Management Institute. We offer a platform for project management professionals in Silver Spring, MD, and the DC/Baltimore metro area. Monthly meetings facilitate networking, knowledge sharing, and professional development. For event details, visit pmissc.org.
Exploring Career Paths in Cybersecurity for Technical CommunicatorsBen Woelk, CISSP, CPTC
Brief overview of career options in cybersecurity for technical communicators. Includes discussion of my career path, certification options, NICE and NIST resources.
Resumes, Cover Letters, and Applying OnlineBruce Bennett
This webinar showcases resume styles and the elements that go into building your resume. Every job application requires unique skills, and this session will show you how to improve your resume to match the jobs to which you are applying. Additionally, we will discuss cover letters and learn about ideas to include. Every job application requires unique skills so learn ways to give you the best chance of success when applying for a new position. Learn how to take advantage of all the features when uploading a job application to a company’s applicant tracking system.
1. 1
Molecules and morphology: insights from phylogenetic
analyses of insect taxa
Torsten Dikow
Biodiversity Synthesis Center
Field Museum of Natural History
Chicago, IL, USA
4. . Morphological and Molecular Data 4
Morphological and Molecular Data
“It is still common for phylogeneticists to fear that
molecular data will swamp out the signal of phenotypic
characters such as morphology and behavior.”
Pickett & Carpenter 2010: 13
1987
5. . Morphological and Molecular Data 5
Morphological and Molecular Data
◊ Kluge 1989 – Total Evidence
◊ Nixon & Carpenter 1996 – Simultaneous Analysis
◊ Freudenstein et al. 2003
› today: morphological and DNA nucleotide data
› increasingly used: behavioral and ecological data
› future: entire genomes, gene rearrangemant, morphology, behavior,
ecology
◊ greatest explanatory power
6. . Morphological and Molecular Data 6
Simultaneous Analysis
“Although neither of us believes that the evolutionary character content of a single
nucleotide substitution, for example, is comparable to any given morphological character
– most of which are the polygenic result of multiple, interacting genes – philosophical
consistency dictates that we treat all characters as equal contributors to the topology.”
Pickett & Carpenter 2010: 17
“Thus, here we are willingly increasing the relative power of single nucleotides or indel
events to that of complex morphological characters (no doubt the result of many thousands
of nucleotides). So, in effect, we are sharply minimizing the phylogenetic impact of the
morphology relative to the molecular characters. As a result, none can argue that we have
unfairly stacked the deck against the molecules.”
Pickett & Carpenter 2010: 17
7. .. Simultaneous Analyses of Insect Taxa 7
Published Simultaneous Analyses – Cladistics
12
9
Number
6
44 analyses 3
insect taxa = 13
other animal taxa = 22 0
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
plant taxa = 9 Year
9. ... Methodology 9
Simultaneous Analysis – traditional approach
◊ Morphological Data
› primary homology statements
already made by investigator
(“prealigned”)
static static analysis
SuperMatrix in TNT
◊ Molecular Data
› unaligned nucleotides
› nucleotides to be aligned using
traditional alignment algorithms
10. ... Methodology 10
Simultaneous Analysis – current approach
◊ Morphological Data
› primary homology statements
already made by investigator
(“prealigned”)
semi-dynamic semi-dynamic
SuperMatrix analysis in POY
◊ Molecular Data
› unaligned nucleotides
› nucleotides to be aligned using
dynamic homology
11. ... Methodology 11
Simultaneous Analysis – future approach?
◊ Morphological Data
› “unaligned” character states
› character states to be “aligned”
using dynamic homology
assignment dynamic dynamic
SuperMatrix analysis in POY
◊ Molecular Data
› unaligned nucleotides
› nucleotides to be aligned using
dynamic homology
29. ..... Summary 29
Summary
◊ Total evidence strongest hypothesis
› largest taxonomic coverage
› largest amount of data
◊ Combined morphological and molecular data not used for phylogeny too often
◊ Several simultaneous analysis methods available
◊ Completeness of matrix might affect results
30. 30
Acknowledgments
◊ Willi Hennig Society
◊ U.S. National Science Foundation (DDIG DEB 0608258, REVSYS DEB 0919333)
◊ Cornell University, AMNH, FMNH