cpsc 2100 and 5210 CRNs

Cpsc 2100 CRN 45179

Cod. 5210 CRN 42543

Sync Exchange Mail to Apple iOS

http://www.utc.edu/information-technology/knowledge-base/email/exchange/sync-exchange-apple-ios.php

OSX external backup disk cannot be mounted.

Tried Disk Utility, it cannot fix the disk.

I then let default fsck_hfs run to fix it by default, based on,
http://apple.stackexchange.com/questions/130304/how-can-i-repair-a-disk-that-disk-utility-says-it-cant-repair

'top' shows that 'fsck_hfs' was running when "Horizon green backup disk" was connected to "byte".

Byte-4:~ hqin$ ls /dev/disk*

/dev/disk0 /dev/disk0s2 /dev/disk1 /dev/disk1s2

/dev/disk0s1 /dev/disk0s3 /dev/disk1s1

Byte-4:~ hqin$ ps -ef | grep fsck

    0   623    16   0 12:31AM ??        21:22.89 /System/Library/Filesystems/hfs.fs/Contents/Resources/./fsck_hfs -y /dev/disk1s2

  502   741   451   0  1:07AM ttys001    0:00.00 grep fsck

Byte-4:~ hqin$ df -hl

Filesystem                          Size   Used  Avail Capacity   iused    ifree %iused  Mounted on

/dev/disk0s2                       698Gi  506Gi  191Gi    73% 132783864 50149878   73%   /

localhost:/bCr671Ajn4MZTpa3yc_-X4  698Gi  698Gi    0Bi   100%         0        0  100%   /Volumes/MobileBackups

In the evening, the disk was finally fixed and mounted. 

discussions on biology big data storage and analysis

https://www.biostars.org/p/80575/

http://www.slideshare.net/gcoates/presentations

http://defsci.blogspot.com/2010/01/ruby-aws-easy-map-reduce.html

https://www.genome.gov/pages/research/der/gvp/data_aggregation_workshop_certified_researchers_computational_requirements.pdf

* http://www.strand-ngs.com/support/ngs-data-storage-requirements

Sanger ftp site?

discussion on math modeling for sbio115

With MA and DH

DH: Modeling need to address real problems.

=> plant Form and function in sbio115:

plant nutrients
 - essential nutrients.

transportation in celery stalk (transpiration, stomata),
 transportation data was messy.

-> shade responses mediated by phyotchromes
phytochroms in two forms: Pr form, Pfr form, influenced by red and far-red photons.


-> Plant growth models:
plant growth model +/- iron. experiment done in petri dish.
use dry-weight to measure growth of plants (arabdopsis).
DH: how iron influence growth function? Can simulation enhance the actual learning objective?

APSnet.org
http://www.apsnet.org/edcenter/advanced/topics/ecologyandepidemiologyinr/introductiontor/Pages/default.aspx

Using various models to model the sigmoidal growth curves?


"Why modeling?" ---> Prediction, Quantification. (but would this impress the unders?)
Every model is a hypothesis. Different model fitting are quantitative way to test different hypotheses.


http://www.apsnet.org/edcenter/advanced/topics/EcologyAndEpidemiologyInR/DiseaseProgress/Pages/GrowthModels.aspx

Learning objective should use "verb" students be able to do sth. "Understand" is a state of mind, not measurable.

Use sigmoid effects to explain the growth-limiting effect of certain nutrients?
Growth function = Growth_Function(Fe) X Growth_Function(N)
Overall Fitness is a production

Viner systesm with O2 and CO2 sensors for a leaf in a chamber.

Large seeds took longer time to show effect of soil on growth.

water transport in celery stalk.
water with dye, traverling up the stalk.
Plants tend to close stomata during dark, thereby reduces transpiration. (However, there is some adjustment time).

xylen, minerals from bottom to up,
pholem, sugar from up to bottom,

Pressure gradient in plants
water pressure in plants, always negative, highly in roots, lowest in leaves,


=> Animal form and function in SBIO115
 -> hormonal feedback regulation
  positive and negative feedback?

 -> Hemoglobin-oxygene dissociation curve

-> negative feedback : homeostatis
-> positive feedback: more commons in developmental stage? pattern formation? 

-> Glucose homoestatis

Mathematical model for cancer growth 
http://chemoth.com/tumorgrowth

West, G. B., Brown, J. H. & Enquist, B. J. A general model for ontogenetic growth. Nature 413, 628-631, doi:http://www.nature.com/nature/journal/v413/n6856/suppinfo/413628a0_S1.html 

http://www.nature.com/nature/journal/v413/n6856/full/413628a0.html


=> What's out there on the modeling aspect?

Learning Outcomes: 
 Exposure to q-bio. student attitude change towards quantitative modeling and computational studies (tools). Interests to take up-level qbio, math and cs courses? 
 Thinking mechanistically, "think deeper"
 What's kind of outcomes to convince other faculty to buy-in the qbio approach?

biology and math, reference on undergraduate education

2020 vision for biology: role of plants in addressing grand challenges in biology, 2008.

grant challenges in plant systems biology: closing the circles. Femie 2012

new frontiers for organismal biology, 2013, BioScience.

*** national health and aging trend study

national health and aging trend study
https://www.nhatsdata.org/

fMRI data

brain aging and statistical network modeling

https://openfmri.org/

computing for high school students

https://codehs.com/info/curriculum/introjs#instructors

CPSC5210 Design and Analysis of Computer Algorithms

CPSC 5210 - Design and Analysis of Computer Algorithms

---

(3) Credit Hours 

Algorithm design techniques including divide and conquer, greedy method, dynamic programming, search and traversal, backtracking, branch and bound, graph algorithms. Introduction to the theory of NP-completeness and to methods of coping with NP-complete problems. Introduction to parallel algorithms. Prerequisite: CPSC 5010 or placement, or department head approval. Standard letter grade. Differential Course Fee will be assessed.


https://mitpress.mit.edu/books/introduction-algorithms

http://www.cs.dartmouth.edu/~thc/


http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/calendar/

https://www.cs.unc.edu/~anderson/teach/comp750/
https://www.cs.unc.edu/~anderson/teach/comp750/syl.pdf

https://www.udacity.com/course/intro-to-algorithms--cs215

https://www.coursera.org/learn/algorithm-design-analysis

CPSC2100 Software Design and Development, and references

CPSC 2100 - Software Design and Development

---

(3) Credit Hours 

A study of the analysis, design and implementation phases of software systems development using a phased life cycle approach. Process, data and object oriented development models. Introduction to modeling tools and CASE software. Team approaches to software development. Project management concepts. Prerequisite: CPSC 1110 with a minimum grade of C or department head approval. Differential course fee will be assessed.

http://www.utc.edu/center-information-security-assurance/course-listing/cpsc2100.php

Prerequisites:

CPSC 160 or CPSC 1110 with a grade of C or better.

textbook in spring 2016

1.     Required:

·       Object-Oriented Design and Patterns, 2nd Edition, Horstmann, Wiley,

ISBN: 978-0-471-74487-0

2.     References:

·       Big Java, 4^th edition, Horstmann, Wiley,

ISBN: 970-0-470-50948-2

·       System Analysis and Design, 4^th edition, Dennis, Wixom and Tegarden, Wiley,

ISBN: 978-1-118-03742-3

Software Development with C++: Maximizing Reuse with Object Technology

Kjell Nielsen 

• Publisher: Academic Press (October 20, 1994)
• Language: English
• ISBN-10: 0125184204
• ISBN-13: 978-0125184205
• 
  

Software design patterns
software design using C++ http://cis.stvincent.edu/html/tutorials/swd/

http://www.dre.vanderbilt.edu/~schmidt/cs215/index.html


C++ courses at MIT
http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-096-introduction-to-c-january-iap-2011/Syllabus/

CS1 and 2, St Vicent http://cis.stvincent.edu/html/tutorials/swd/

C++ OOD design course http://retis.sssup.it/~lipari/courses/oosd2010-2/


Free C++ books
http://www.onlineprogrammingbooks.com/cplusplus/


http://python.cs.southern.edu/cppbook/progcpp.pdf

http://www.cplusplus.com/files/tutorial.pdf

http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-170-laboratory-in-software-engineering-fall-2005/lecture-notes/

Slides:
http://stroustrup.com/Programming/PPP-guide.pdf



https://en.wikibooks.org/wiki/C%2B%2B_Programming/Code/Design_Patterns

CPSC 1110 Data Structures and Program Design (Non-IA course)

Course Description

Continued development of programming style using abstract data structures and top-down design. Debugging and testing of large programs. Emphasis on algorithm development. List processing. Recursion. (Stacks, trees, searching and sorting.) Lecture 3 hours, laboratory 2 hours. Prerequisites: CPSC 1100 with a minimum grade of C and MATH 1720 or MATH 1830 or MATH 1910 or MATH 1920 with a minimum grade of C or department head approval.  Laboratory/studio course fee will be assessed. Supplementary course fee assessed.

PYTHON BOOKS
https://mitpress.mit.edu/books/introduction-computation-and-programming-using-python-1
John V. Guttag is the Dugald C. Jackson Professor of Computer Science and Electrical Engineering at MIT.
Paperback | $45.00 X | £37.95 | 472pp. | 7 x 9 in | 258 figures | August 2016 | ISBN: 9780262529624


https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-11#.U4x_iSiJKEk

An Introduction to Programming using PYTHON - David I. Schneider  ISBN 978-0-13-405822-1

AMNIS image flow cytometery

AMNIS, part of Millipore
FlowSight (smaller one, bench top), 20X 4-laser
20X (1 um per pixel)

ImageStream Mark II (full feature model), 20X, 40X, 60X, 405, 488, 561, 642 lasers
12 channels, 2 camera system
60X 0.33um per pixel


interactive GUI, each point can be clikced to show the cell image.

cy5
cy7

Aspect ratio, area of CD19-AF488 imagery
Valley mask

water quality test

R package for image-flow cytometer analysis?

IDEAS image analysis software, 85 features per channel.

signal to noise ratio? RD, a seperation ratio. Question on multiple-test correction. Rep suggested repeated experiments.

Machine learning methods to pick features or transformation of features?

Example on hematopoietic stem cells.

Quantify RBC heterogeneity.


3rd party software: ViSNE, cell profile, etc.


Rereferes
http://www.c2b2.columbia.edu/danapeerlab/html/cyt.html

https://www.emdmillipore.com/US/en/life-science-research/cell-analysis/amnis-imaging-flow-cytometers/research-areas/oceanography/ktSb.qB.h5QAAAFLGElT0LyB,nav#wharf

TAGC 2016 Report (exported from meeting app)

TAGC 2016 Report

Session Notes

PgmNr D1530/B: flyDIVaS: A database for genus- and genome- wide divergence and selection in Drosophila.

Craig Stanley

PgmNr P2020/B: How a Framework for Evolutionary Systems Biology Can Accelerate Reproducible Modeling of Mechanistic Fitness Landscapes.

Laurence Loewe

PgmNr D197: Highly accurate prediction of early anterior-posterior enhancer sequences from ChIP-seq data.

Hamutal Arbel

PgmNr P377: QTL mapping for hitchhiking behavior in C. elegans reveals evolutionary trade-off between dispersal and reproduction.

Daehan Lee

PgmNr P381: Steps toward reproducible research.

Karl Broman

Beyond cerevisiae: Exploiting yeast diversity in nature to understand genome evolution in diverse environments

PgmNr Y517: NGS for 'No-pain Genetic Screens': Using transposons and Next-Gen Sequencing to unveil all important yeast loci in one go.

Agnes Michel

PgmNr D227: Invasion dynamics in the fly gut microbiome.

Benjamin Obadia

PgmNr M299: Adenoma Susceptibility Modulated by Variable Complex Gut Microbiota in a Rat Model of Familial Colon Cancer.

Susheel Bhanu Busi

PgmNr M298: Genetic inhibition of MTOR during thymic Pre-T LBL development delays tumorigenesis and points to the IRF4-CDK6 pathway as a potential target in the treatment of T-ALL/LBL.

Beverly Mock

PgmNr P388: Cryptic genetic variation and the evolution of complex traits.

Annalise Paaby

PgmNr P380: Deep sequencing of whole transcriptomes across the Drosophila Genetic Reference Panel.

Logan Everett

Complex Trait Evolution (P)

Karl Broman / Daehan Lee / Kjong-Van Lehmann / Yun Ding / Logan Everett / Bashir Bello / Wolfgang Busch / Lauren McIntyre

PgmNr J8: Fishing for the secrets of stickleback and human evolution.

David Kingsley

PgmNr J5: The Fred Kavli Foundation Distinguished Lecture: Flexibility and variability in behavior at the gene-environment interface.

Cori Bargmann

PgmNr D1067/A: Tousled-like kinase regulates G2/M transition through Tak1 to activate p38a MAPK.

Gwo-Jen Liaw

PgmNr E8020/B: Using the Yeast Mating Response to Study Genetics and Cell Biology: From the Biology Lab to the Computer Lab and Back.

Michelle Mondoux

Spotlight on Undergraduate Research using Genetics Research Models

PgmNr Y504: Extrachromosomal Circular DNA – A Key Player in Creation of Copy Number Variation?

Henrik Møller

PgmNr M296: The function of the histone demethylase KDM1A (LSD1) in Tau mediated neurodegeneration.

David Katz

PgmNr M293: Genetic control of the epigenetic landscape.

Christopher Baker

Epigenetics (M)

Jeannie Lee / David Katz / Gregory Carter / Christopher Baker / Nora Engel / Stefan Pinter / Weipeng Mu

PgmNr P356: ­­­Evidence for the interspecies transfer of a driving X chromosome.

Christopher Leonard

PgmNr D194: Natural variation in binding site affinity controls stochastic gene expression in the fly eye.

Caitlin Anderson

Regulation of Gene Expression I (D)

Christine Rushlow / Shawn Little / Hongtao Chen / Justin Crocker / Caitlin Anderson / Robin Fropf / Hamutal Arbel / Robert Zinzen

PgmNr D190: Modulation of bursting kinetics generates specific gene expression rates in the early embryo.

Shawn Little

PgmNr P365: The Critical Functions Encoded by Synonymous Sites.

Heather Machado

YGM Lifetime Achievement Award: James Broach and Scientific Session Stress Sensing and Damage Control (Y)

Paul Magwene / Tina Sing / Sylvain Huard / David Stieg / Jessica Lao / James Broach / Peter Stirling

PgmNr Y3161/B: Unbiased functional annotation of compound libraries using yeast chemical genomics.

Sheena Li

PgmNr Y518: Exploring Functional Genetic Suppression Interactions on a Global Scale.

Jolanda van Leeuwen

PgmNr Y515: Scalable tools for the quantitative analysis of chemical-genetic interactions from sequencing-based chemical-genetic interaction screens.

Scott Simpkins

PgmNr Y511: A global yeast genetic network maps cellular function.

Michael Costanzo

PgmNr Y494: A cytokinesis checkpoint.

Eric Weiss

PgmNr P346: Investigating cryptic genetic variation through position effect variegation in a panel of Drosophila melanogaster inbred lines.

Joyce Kao

Haematopoiesis and Vascular Biology (Z)

Erica Bresciani / Anming Meng / Hilary Clay / Weijun Pan / Brant Weinstein / Zhen Jiang / Naguissa Bostaille / Makoto Kobayashi

Population Genetics (P)

Alexander Platt / Jody Hey / Hosseinali Asgharian / Ryan Gutenkunst / Guillaume Charron / Stephen Christy / Olaitan Awe / Ivana Cvijovic

PgmNr Y514: High throughput protein-protein interaction sequencing using iSeq.

Zhimin Liu

PgmNr Y512: A programmable sensor for protein solubility in yeast uncovers ecological prion-switching factors.

Gregory Newby

Cancer (Z)

Joan Heath / Ana Neto / Myron Ignatius / Andrew Cox / Rodney Stewart / Qin Tang / Charles Williams / Minna Roh-Johnson

Cancer and Immunology (M)

Tyler Jacks / Beverly Mock / Hui Zong / Clare Smith / Kendra Williams / Susheel Bhanu Busi / Kent Hunter

Yeast Evolution in and out of the Lab (Y)

Aashiq Kachroo / Joel McManus / Sara Hanson / Seungsoo Kim / Henrik Møller / Barbara Dunn / Joseph Schacherer / Rohith Srivas

PgmNr P364: The fitness landscape of a tRNA gene.

Chuan Li

Molecular Evolution (P)

Heather Machado / Meihua Kuang / Benjamin Wilson / Chuan Li / Amy Lawton-Rauh / Felix Feyertag / Julia Piper / Rafik Neme

PgmNr Y500: The Quick and the Dead: Single-cell Demography at the Yeast Thermal Limit.

Paul Magwene

PgmNr P357: The mutational structure of metabolism in Caenorhabditis elegans.

Charles Baer

PgmNr P354: Decomposing intra-genomic heterogeneity in mutation bias in coding sequences.

Cedric Landerer

PgmNr P351: CRISPR-directed mitotic recombination enables genetic mapping without crosses.

Meru Sadhu

Mutation & Recombination (P)

Charles Baer / Vaughn Cooper / Beth Dumont / Richard Wang / Cedric Landerer / Christopher Leonard / Thomas Peterson / Meru Sadhu

Emerging Technologies - Imaging (Z)

Keith Cheng / Kohei Hatta / Francesca Tuazon / Ben Cox / Nicola Lockwood / Antonio Ortiz / Yifu Ding / Ravindra Peravali

PgmNr M253: 3D image analysis of embryonic lethal mutations: An IMPC/KOMP2 resource.

Mary Dickinson

Cryptic Variation and Robustness (P)

Joyce Kao / Xinzhu Wei / J. David Van Dyken / Jonathan Fitz Gerald / Kerry Geiler-Samerotte / Thanat Chookajorn

PgmNr P344: The genomic architecture of interactions between natural polymorphisms and environments in yeast growth.

Xinzhu Wei

PgmNr P347: The cost of noise in biochemical reactions and the evolutionary limits of cellular robustness.

J. David Van Dyken

PgmNr J7: Of mice, men and birds: meiotic recombination and its evolution.

Molly Przeworski

PgmNr Y506: The 1002 yeast genomes project.

Joseph Schacherer

PgmNr Y507: Integrative Analysis of the Variation in the Regulatory Network Among Strains of Yeast.

Rohith Srivas

PgmNr P358: Ongoing duplicate gene resolution shapes diversified metabolic networks: a functional comparative study of two yeast GALalactose utilization networks.

Meihua Kuang

PgmNr D1269/B: Receptor-based Mapping Reveals the Architecture of a Neural Circuit that Governs a Behavioral Sequence in Drosophila.

Feici Diao

Neural Circuits, Neurophysiology and Behavior (Z)

Idan Elbaz / Erik Duboué / Alessandro Filosa / Timothy Erickson / Anna Kramer / Mingyong Wang / Manxiu Ma / Roshan Jain

PgmNr Z624: MECP2-IGF1 signaling determines how neural circuits interpret sensory information.

Nicholas Santistevan

PgmNr P338: Effect of Genetic Architecture and Sample Size on the Accuracy of Genomic Prediction of Complex Traits.

Fabio Morgante

PgmNr P339: A Powerful Yeast Mapping Panel for Complex Trait Genetics.

Daniel Skelly

PgmNr W420: Caenorhabditis Genetics Center (CGC).

Aric Daul

PgmNr Y469: A cradle-to-grave analysis of cis-regulatory variation in yeast.

Jennifer Andrie

PgmNr Y471: Stress-dependent transcriptome changes serve to reallocate translational capacity during stress acclimation.

Yi-Hsuan Ho

PgmNr P323: Drosophila melanogaster-specific genes rapidly evolved strong fitness effects.

Nicholas VanKuren

PgmNr P325: Genome-wide signals of adaptation in mammals and the arms race with viruses.

David Enard

PgmNr Y485: Genetic and environmental backgrounds constrain the course of evolutionary rescue by compensatory mutations.

Véronique Hamel

Lee Hartwell Lecture: Susan Gasser and Scientific Session: Tackling Human Disease Using Yeast (Y)

Susan Gasser / Mert Icyuz / Lai Wong / Robert Reid / Véronique Hamel / Quan Zhong / Neta Agmon

PgmNr W403: Quantitative analysis of context-dependent regulation by the Wnt pathway at single cell resolution.

John Murray

PgmNr P316: The hidden complexity of Mendelian inheritance in natural populations.

Joseph Schacherer

PgmNr Y468: Genome-wide detection of genomic fluctuations in Saccharomyces cerevisiae.

Kim Palacios Flores

PgmNr P321: Diverse genetic architectures lead to the same cryptic phenotype in a yeast cross.

Ian Ehrenreich

PgmNr J4: Accelerating Insights from Basic Genetics.

Francis Collins

Genetics and Determinants of Health Joint Plenary Session (J)

Harry Dietz / Amita Sehgal / Leonard Zon / Francis Collins

PgmNr Y3050/B: Membrane trafficking underlies aging and rejuvenation.

Kiersten Henderson

PgmNr Y3016/A: Regulation of lifespan by phosphate starvation response factors in budding yeast.

Yukio Mukai

PgmNr Y3010/A: Regulation of lifespan by vitamin B₆ metabolism-related genes in yeast.

Yuka Kamei

PgmNr D1529/A: Enhanced orthology data in FlyBase.

Steven Marygold

PgmNr D1528/C: Model organism analysis using InterMine.

Rachel Lyne

PgmNr D1339/C: Untargeted metabolomics elucidates the role of diet and triglyceride storage in Drosophila melanogaster larvae.

Vishal Oza

PgmNr Y510: The 3D organization of the diploid Saccharomyces genome.

Seungsoo Kim

PgmNr Y497: Protein sequestration after genotoxic stress regulates splicing.

Peter Stirling

PgmNr Y496: 'Flipping the Switch': ROS-induced degradation of Med13 by SCFGrr1 mediates mitochondrial fragmentation and cell death.

David Stieg

PgmNr Y489: Systematic functional analysis of resistance-conferring mutations.

Lai Wong

PgmNr Y488: Genome-Wide Analysis in Yeast to Identify Molecular Targets Promoting Readthrough.

Mert Icyuz

PgmNr W4120/C: SSBD: an open database of quantitative data and microscopy images of biological dynamics.

Yukako Tohsato

PgmNr Y3191/B: Integrating Post-Translational Modification Data into the Saccharomyces Genome Database.

Sage Hellerstedt

PgmNr D1530/B: flyDIVaS: A database for genus- and genome- wide divergence and selection in Drosophila.

Craig Stanley

PgmNr D1526/A: REDfly: The Regulatory Element Database for Drosophila.

Marc Halfon

PgmNr D160: Features and Applications of FlyCircuit Database – From Fluorescent Images to the Drosophila Connectome.

Chi-Tin Shih

Physiology, Organismal Growth & Aging (D)

Physiology, Organismal Growth & Aging (D)

William Ludington / Annick Sawala / Xueyang Pan / Xun Huang / Francesca Froldi / Jessica Tang / Bruno Hudry / Michele Shirasu-Hiza

PgmNr W421: Genetic Background and Experimental Reproducibility Play Critical Roles in Identifying Chemical Compounds with Robust Positive Effects on Longevity.

Mark Lucanic

Aging and Cell Death (W)

Rebecca Kaplan / Nicole Iranon / Marissa Fletcher / Ryan Haley / Mark Lucanic / Sean Curran

Getting Even More Out of SGD

Using CyVerse Cyberinfrastructure to Enable Data Intensive Research, Collaboration, and Education

The InterMOD Consortium: A common interface to model organism data

Model Systems in Drug Discovery

Finding Funding

MOD (FlyBase, MGI, SGD, WormBase, Zfin) Demo Room Open for Tutorials and Discussions

PgmNr Y3155/B: Global analysis of genes and metabolites influencing chronological lifespan.

Haley Albright

PgmNr Y3044/B: Mitochondria as signaling organelles in aging.

Vladimir Titorenko

PgmNr P376: Large scale splicing QTL analysis of cancer genomes.

Kjong-Van Lehmann

PgmNr D1322/A: Genetic and mathematical dissection of tumor heterogeneity that triggers cancer progression.

Masato Enomoto

PgmNr W429: Developing quantitative resource for computational analysis from images of C. elegans embryogenesis in a public database Phenobank.

Yukako Tohsato

PgmNr Y530: An unexpected role for casein kinases in glucose sensing and signaling.

Chris Snowdon

PgmNr M314: Cas9 RNA-guided nuclease gene editing – rapid disease modeling in mice.

Lauryl Nutter

PgmNr P396: Can epistasis or GxE be predictable? Lessons from mitonuclear interactions in Drosophila.

David Rand

PgmNr P392: High-throughput measurements of the evolutionary consequences of epistasis.

José Rojas Echenique

CRISPR-based Genome Engineering

Automated Tracking for Quantitative Phenotyping

An Introduction to Using Galaxy for Genetic Data Analysis

Finding Funding

modMetabolome: Model Organism Metabolomics Consortium Workshop

Systems Genetics in Complex Populations

Plenary Session 2: Systems Biology (W)

Itai Yanai / Oliver Hobert / Mike Boxem / Aric Daul

PgmNr P336: Fitness pleiotropy and the phenotypic basis of adaptation in experimentally evolving yeast.

Sandeep Venkataram

PgmNr P334: Using network theory to infer and analyze population structure from genetic data.

Gili Greenbaum

James F. Crow Symposium (P)

Daniel Hartl / Emily Behrman / Sarah Sander / Heath Blackmon / Matthew S Ackerman / Gili Greenbaum / Sandeep Venkataram / Bret Payseur

Population Genomics (P)

Human Disease Models (M)

Hematopoiesis and Vascular Biology (Z)

Genome Stability and Dynamics (C)

Evolution & Quantitative Genetics (D)

Comparative Genomics, Computational Methods & Evolution (M)

Cell Cycle & Cell Death (D)

Cancer (Z)

Aging and Cell Death (W)

PgmNr W408: CRISPR-mediated synthetic genetic analysis reveals genetic interactions among RNA binding proteins affecting fitness and lifespan.

Adam Norris

PgmNr W407: Longevity and its transgenerational inheritance is enabled by H3K9 methylation.

Teresa Lee

Genomics, Gene Regulation and Technology (W)

Adam Norris / Teresa Lee / John Murray / Pavak Shah / Jonathan Liu / Chiara Cerrato / Peter Askjaer / Sevinc Ercan

PgmNr M262: Post-translational mechanisms buffer protein abundance against transcriptional variation.

Gary Churchill

PgmNr M261: Discovery, assembly, and annotation of subspecies specific haplotypes in classical and wild-derived mouse strains.

Jingtao Li

Comparative Genomics, Computational Methods and Evolution (M)

Yoichi Gondo / Thomas Keane / Hopi Hoekstra / Jingtao Li / Gary Churchill

PgmNr Y466: Mechanism of non-genetic heterogeneity in yeast growth rate and stress resistance.

Shuang Li

PgmNr M255: GENCODE: using new technologies to improve reference mouse genome annotation.

Mark Thomas

PgmNr M252: Large-scale discovery of embryonic lethal phenotypes in mice.

Stephen Murray

PgmNr M251: Building the first comprehensive functional catalogue of a mammalian genome.

Martin Hrabé de Angelis