PHOTO BY BRUCE MAXWELLSWARTHMORE COLLEGE

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PHOTO BY BRUCE MAXWELLSWARTHMORE COLLEGE

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Title: PHOTO BY BRUCE MAXWELLSWARTHMORE COLLEGE

1
(No Transcript)
2
PHOTO BY BRUCE MAXWELL/SWARTHMORE COLLEGE
3
Photo by Carlos A. Alvarez Zarikian /USGS, Miami,
Florida
4
Sections

Title
Affiliation(s)
Introduction
Materials and methods
Results
Conclusions
References
Acknowledgements
Further information

5
Title that states (or hints at) the interesting
issue and the study organism, and is formatted
in sentence case (i.e., not in Title Case and
not in ALL CAPS) Your name(s) hereDepartment o
f Biology, Swarthmore College, Swarthmore,
Pennsylvania 19081
Introduction This is a Microsoft Powerpoint templ
ate that has column widths and font sizes
optimized for printing a 36 x 56 posterjust
replace the tips and blah, blah, blah repeat
motifs with actual content. Try to keep your
total word count under 1100. More tips can be
found at the companion site, Advice on designing
scientific posters, located at,
http//www.swarthmore.edu/NatSci/cpurrin1/postera
dvice.htm
Conclusions You can, of course, start your conclu
sions in column three if your results section is
data light. Conclusions should not be mere re
minders of your results. What would one conclude
from the results? What is the broader
significance? Why should anyone care? This
section should refer back to the burning issue
mentioned in the introduction.
Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah. Blah, blah, blah.
Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah. Blah, blah, blah.
Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah. Blah, blah, blah.
Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah.

Results
The overall layout for this section can, and
probably should, be modified from this template,
depending on the size and number of charts and
photographs your specific experiment generated.
You might want a single, large column to
accommodate a large map, or perhaps you could
arrange 6 figures in a circle in the center of
the poster do whatever it takes to make your
results graphically clear. To see examples of how
others have abused this template to fit their
presentation needs, perform a Google search for
powerpoint template for scientific posters.
Paragraph format is fine, but sometimes a
simple list of bullet points can communicate
results more effectively
9 out of 12 brainectomized rats survived.
Control rats completed maze faster, on average,
than rats without brains (Fig. 3) (t 9.84, df
21, p 0.032).

Fig. 5. Be sure to separate figures from other
figures by generous use of white space. When
figures are too cramped, viewers get confused
about which figures to read first and which
legend goes with which figure. Note that you
should turn text justification off for legends so
that between-word spacing is not awkward.
Control (brain intact)
Brainectomized
Fig. 1. Use a photograph or drawing here to
quickly introduce a viewer to your question,
organism, or allele du jour. Use a non-serif font
for figure legend text to provide subtle cue to
reader that he/she is not reading normal text
section. Color can also be used as a cue.
Avoid keys that force readers to labor through
complicated graphs just label all the lines (or
bars) and then delete the silly key altogether
Figures are preferred but tables are sometimes
unavoidable (ANOVA results, for example, shown
below). A table looks best when it is first
composed within Microsoft Word, then Inserted
as an Object. If you can add small drawings or
icons to your tables, do so!
(a)
(b)
(c)
Materials and methods This paragraph has justif
ied margins, but be aware that simple
left-justification (other paragraphs) is
infinitely better if your font doesnt space
nicely when fully justified. Sometimes spacing
difficulties can be fixed by manually inserting
hyphens into longer words (Powerpoint doesnt do
this automatically). Your main text is easier t
o read if you use a serif font such as Palatino
or Times. Use a non-serif font for title and
section headings (and for figure legends, graph
text, etc.). Be brief, and opt for photographs
or drawings whenever possible to illustrate
organism, protocol, or experimental design.
Remember no period after journal name.
Fig. 4(a-c). Make sure legends have enough detail
to fully explain to the viewer what the results
are. Note that for posters it is good to put some
Materials and methods information within the
figure legends or onto the figures themselvesit
allows the Mm section to be shorter, and gives
viewer a sense of experiment(s) even if they have
skipped directly to figures. Dont be tempted to
reduce font size in figure legends, axes labels,
etc.your viewers are probably most interested in
reading your figures and legends!
Literature cited Bender, D.J., E.M Bayne, and R.M
. Brigham. 1996. Lunar condition influences
coyote (Canis latrans) howling. American Midland
Naturalist 136413-417. Brooks, L.D. 1988. The ev
olution of recombination rates. Pages 87-105 in
The Evolution of Sex, edited by R.E. Michod and
B.R. Levin. Sinauer, Sunderland, MA.
Scott, E.C. 2005. Evolution vs. Creationism an
Introduction. University of California Press,
Berkeley. Society for the Study of Evolution. 20
05. Statement on teaching evolution. http//www.evolutionsociety.org/statements.html
. Accessed 2005 Aug 9.
Often you will have some more text-based results
between your figures. This text should explicitly
guide the reader through the figures.
Blah, blah, blah (Figs. 4a,b). Blah, blah, blah.
Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah. Blah, blah, blah
. Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah (Fig. 4c). Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah. Blah, blah, blah.
Blah, blah, blah. Blah, blah, blah (data not
shown). Blah, blah, blah. Blah, blah, blah. Bla
h, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah. Blah, blah, blah
(God, personal communication).
This effect was explored graphically
Acknowledgments We thank I. Güor for laboratory a
ssistance, Mary Juana for seeds, Herb Isside for
greenhouse care, and M.I. Menter for statistical
advice and helpful discussions. Funding for this
project was provided by the Swarthmore College
Department of Biology and a Merck summer stipend.
Note that peoples titles are omitted.
Abutting sections can save you a little space,
and subtly indicates to viewers that the contents
are not as important to read.
Fig. 6. You can use connector lines to visually
guide the viewer through your results. These
lines can help viewers read your poster even when
youre not present.
Fig. 2. Photograph or drawing of organism,
chemical structure, or whatever focus of study
is. Dont use graphics from the web (they look
terrible when printed).
This is the gene of interest!
Putting notes to viewers directly onto figures is
preferable to hiding an important point in normal
text of results.
Fig. 3. Illustration of important piece of
equipment, or perhaps a flow chart summarizing
experimental design. Scanned, hand-drawn
illustrations are often preferable to
computer-generated ones.
For further information Please contact email_at_swar
thmore.edu. More information on this and related
projects can be obtained at www.swarthmore
(give the URL for general laboratory web site).
A link to an online, PDF-version of the poster i
s nice, too. If you just must include a
pretentious logo, hide it down here.
Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah. Blah, blah, blah.
Be sure to get rid of all these blahs before you
print your actual poster.
6
Components

Text
Graphs
Drawings
Photographs
Tables
(Can use organisational logos)

7
LifeScienceWeb Services Integrated Analysis of
Protein Structural DataCharles Moad, Randy
Heiland, Sean D. Mooney?Pervasive Technology
Labs ?? Center for Computational Biology and
Bioinformatics, Department of Medical and
Molecular GeneticsIndiana University,
Indianapolis, Indiana 46202
Automated Sequence and Structural Analysis of
Protein Structures Using PSI-BLAST and S-BLEST, w
e provide analysis of residue environments that
match between protein structures in a queried
database. Additionally, if the found
environments represent similar structure or
function classes, the environments that are most
structurally associated to those environments are
returned. This service is authenticated and SSL
encrypted, and all coordinate data and analysis
data are stored on our servers. Currently, users
can query the ASTRAL 40 v1.69 and ASTRAL 95 v1.69
nonredundant domain datasets, as well as other
commonly used nonredundant protein structure
databases.
Visualization of Mutations on Protein Structures
We provide mapping between mutations and SNPs and
protein structures. The mutations are mapped
using Smith-Waterman based alignments.
Swiss-Prot mutations and nonsynonymous SNPs in
dbSNP are currently supported. See
http//mutdb.org/ for a current list of the
versions of each dataset we provide.
Services Model Web services are an efficient way
to provide genomic data in the context of
protein structural visualization tools. Our goal
is to define a set of bioinformatic web services
that can be used to extend protein structural
visualization tools, and other extensible
computational biology desktop applications. We
are currently focused on extending UCSF Chimera
(http//www.cgl.ucsf.edu/chimera/) and Delano
Scientific PyMOL (http//pymol.sourceforge.net).
Our services use the SOAP protocol and are
currently developed using open source
Python-based projects.
Abstract Visualization of protein structural data
is an important aspect of protein research.
Incorporation of genomic annotations into a
protein structural context is a challenging
problem, because genomic data is too large and
dynamic to store on the client and mapping to
protein structures is often nontrivial. To
overcome these difficulties we have developed a
suite of SOAP-based Web services and extended the
commonly used structural visualization tools UCSF
Chimera and Delano Scientific PyMOL via plugins.
The initial services focus on (1) displaying both
polymorphism and disease associated mutation data
mapped to protein structures from arbitrary genes
and (2) structural and functional analysis of
protein structures using residue environment
vectors. With these tools, users can perform
sequence and structure based alignments,
visualize conserved residues in protein
structures using BLAST, predict catalytic
residues using an SVM, predict protein function
from structure, and visualize mutation data in
SWISS-PROT and dbSNP. The plugins are
distributed to academics, government and
nonprofit organizations under a restricted open
source license. The Web services are easily
accessible from most programming languages using
a standard SOAP API. Our services feature secure
communication over SSL and high performance
multi-threaded execution. They are built upon a
mature networking library, Twisted, that allow
for new services to easily be integrated.
Services are self-described and documented
automatically enabling rapid application
development. The plugin extensions are developed
completely in the Python programming language and
are distributed at http//www.lifescienceweb.org
/ The LSW Website contains developer tools and m
ailing lists, and we encourage other developers
to extend their applications using our services.
Figure 3 MutDB controller window , shown using
PyMOL.

Controller features include (from the top)
Tabbed selection of query type and controller
options.
Query entry text box and resulting hits from PDB
shown below, with PDB ID, chain, residues, and
TITLE of PDB.
Once a PDB ID above is selected, the coordinates
are downloaded and the mutations from Swiss-Prot
(SP) and dbSNP (SNP) are retrieved. The database
source, type, position, mutation and wildtype
flag are displayed. Upon selection, the mutation
is highlighted in the coordinate visualization
window.
Status window that displays the number of
mutations or PDB coordinates found.
Mutation information window displays a link to
the source (which opens in the browser), the
position and annotations in that may be
available, including PubMed ID (as link),
phenotype and a link to MutDB.org.

SOAP
LSW server
client

Figure 5 S-BLEST controller window shown using
UCSF Chimera.
On the right, the control box has (from top)
Tabs for selecting hits in database with
matching environments (or significant sequence
similarity using PSI-BLAST) or common functional
annotations in the hits.
A pull down selection box showing the PDB IDs
with matching environments and the Z-score
between the best environments. Upon selection
the hit is downloaded and displayed in the
visualization window (left).
A button to retrieve a ClustalW alignment
between the the selected hit structure and the
query.
The most significantly matched residue
environments between the query and the hit.
Displays Z-score, the matched residues, the
ranking of that match (overall for that query
residue environment) and the Manhattan distance.
When residues are selected from this list, the
coordinates in the visualization window are
aligned using a the Chimera match command.
Below the windows a ClustalW alignment is shown

WSDLs Twisted (twistedmatrix.com) pywebsvcs.s
f.net
client
(We will address service discovery in the future)

Software Plugin Extensions
We have extended UCSF Chimera and Delano
Scientific PyMOL to access our services. The
three primary services we provide now are
Disease associated mutation and SNP to protein
structure mapping and visualization
Protein sequence and structure residue analysis
with PSI-BLAST and S-BLEST
Catalytic residue prediction using a support
vector machine (Youn, E., et al. submitted)
Installation Plugin installation is easy and can
be performed for a user without root privileges.
Currently, all platforms supported by UCSF
Chimera and PyMOL are supported and include UNIX
platforms, LINUX, Mac OS X and Windows XP. For
either of the two clients supported (PyMOL or
UCSF Chimera), simply follow the directions
linked on the download page at http//www.lifescie
nceweb.org/. They will thereafter be available
from the menu, as shown below.

Project Goals Web services are an efficient way t
o provide genomic data in the context of protein
structural visualization tools. Our goal is to
define a series of bioinformatic web services
that can be used to extend protein structural
visualization tools, and other extensible
computational biology desktop applications. Our
current focus is on extending UCSF Chimera
(http//www.cgl.ucsf.edu/chimera/) and Delano
Scientific PyMOL(http//pymol.sourceforge.net).

Figure 1 Screen grab of the current services
list from http//www.lifescienceweb.org/.
Services currently offered include
ClustalW alignments
Mutation PDB mapping
SVM based catalytic residue prediction
Sequence conservation based on PSI-BLAST PSSM

Figure 2 Running our tools from the client
application, shown using PyMOL.

Figure 4 MutDB structure visualization window
showing a highlighted mutation using PyMOL.

Figure 6 S-BLEST controller window showing the
function analysis tab using UCSF Chimera.

Updates
The annotations are currently updated every 2-3
months. Internally, we provide services for
annotating genes or coordinates not in the PDB
usually through a collaboration. For information
on how to do this please contact Sean Mooney,
sdmooney_at_iupui.edu.
Acknowledgements
CM and RH are funded through the IPCRES
Initiative grant from the Lilly Endowment. SDM
is funded from a grant from the Showalter Trust,
an Indiana University Biomedical Research Grant
and startup funds provided through INGEN. The
Indiana Genomics Initiative (INGEN) is funded in
part by the Lilly Endowment.
The authors would like to thank the authors of
UCSF Chimera and PyMOL for their help in
extending their applications. You can download
these tools from the following
UCSF Chimera http//www.cgl.ucsf.edu/chimera/
Delano Scientific PyMOL http//pymol.sourceforge
.net

Citations Dantzer J, Moad C, Heiland R, Moo
ney S. (2005) "MutDB services interactive
structural analysis of mutation data". Nucleic
Acids Res., 33, W311-4. Peters B, Moad C, Youn
E, Buffington K, Heiland R, Mooney S,
Identification of Similar Regions of Protein
Structures Using Integrated Sequence and
Structure Analysis Tools. Submitted.
Mooney, S.D., Liang, H.P., DeConde, R., Altman,
R.B., Structural characterization of proteins
using residue environments. Proteins, 2005.
61(4) p. 741-7.
8
NC STATE UNIVERSITY
Southern Flounder Exhibit Temperature-Dependent
Sex Determination J. Adam Luckenbach, John Godw
in and Russell Borski Department of Zoology, Box
7617, North Carolina State University, Raleigh,
NC 27695

Introduction Southern flounder (Paralichthys leth
ostigma) support valuable fisheries and show
great promise for aquaculture. Female flounder
are known to grow faster and reach larger adult
sizes than males. Therefore, information on sex
determination that might increase the ratio of
female flounder is important for aquaculture.
Growth Does Not Differ by Sex
Temperature Affects Sex Determination

male
80
female
50
60
40
Body Weight (g)
40
30
Objective This study was conducted to determine w
hether southern flounder exhibit
temperature-dependent sex determination (TSD),
and if growth is affected by rearing
temperature.
20
Females

20
31
23
31
6
6
28
0
18
23
28
10
Temperature (C)

64
53
49
0

Results
Sex was discernible in most fish greater than 120
mm long.
High (28ºC) temperature produced 4 females.
Low (18ºC) temperature produced 22 females.
Mid-range (23ºC) temperature produced 44
females.
Fish raised at high or low temperatures showed
reduced growth compared to those at the mid-range
temperature.
Up to 245 days, no differences in growth existed
between sexes.

18
23
28

Methods
Southern flounder broodstock were strip spawned
to collect eggs and sperm for in vitro
fertilization.
Hatched larvae were weaned from a natural diet
(rotifers/Artemia) to high protein pelleted feed
and fed until satiation at least twice daily.
Upon reaching a mean total length of 40 mm, the
juvenile flounder were stocked at equal densities
into one of three temperatures 18, 23, or 28C
for 245 days.
Gonads were preserved and later sectioned at 2-6
microns.
Sex-distinguishing markers were used to
distinguish males (spermatogenesis) from females
(oogenesis).

Temperature (C)
(P significant deviations from a 11 malefemale sex
ratio)

Rearing Temperature Affects Growth

Conclusions
These findings indicate that sex determination in
southern flounder is temperature-sensitive and
temperature has a profound effect on growth.
A mid-range rearing temperature (23?C) appears to
maximize the number of females and promote better
growth in young southern flounder.
Although adult females are known to grow larger
than males, no difference in growth between sexes
occurred in age-0 (

80
60

Histological Analysis
Body Weight (g)

40
20
37
37
51
Acknowledgements The authors acknowledge the Sals
tonstall-Kennedy Program of the National Marine
Fisheries Service and the University of North
Carolina Sea Grant College Program for funding
this research. Special thanks to Lea Ware and
Beth Shimps for help with the work.
0
18
23
28
Temperature (oC)
Female Differentiation
Male Differentiation
9
Templates

http//www.swarthmore.edu/NatSci/cpurrin1/postert
emplate.htm
http//www.google.com/search?num100hlenlrie
ISO-8859-1q22powerpointtemplateforscientific
posters22OR22powerpointtemplateforscientif
icposter22btnGSearch

10
Make This Title Short But Sweet And Be Sure To
Use Bolded Font Your Name Here1,2 and Your Ment
ors Name Here1, Departments of Biochemistry1 and
Biology2, University of Washington
ABSTRACT
METHODS
CONCLUSIONS
INTRODUCTION AND BACKGROUND
RESULTS
FUTURE DIRECTIONS
METHODS
RESULTS
ACKNOWLEDGMENTS
11
Title

Catchy and informative
1 2 lines
Title case
Centred
Non-serif font (eg Tahoma, Arial)
Largest font size on poster (generally use full
width of poster)

12
Author(s)and affiliation(s)

Title case
Centred
Non-serif font (eg Tahoma, Arial)
Font size 1/2 - 2/3 of that for title
Authors generally in bold and may be the first
line below title, by themselves
Use superscript numerals to identify multiple
affiliations

A new approach to using cold fusion as a major
source of energy risks and benefits
David Story 1, Charlie Xue 1, Harry Majewski 2
1 School of Health Sciences and 2 School of
Medical Sciences, RMIT University, Bundoora,
3083, Australia

Results
Introduction
Blah, blah, blah, blah..
The exponentially increasing rate of fusion in
space bounded by an intense magnetic field is
shown in Figure 1
Recent developments in containment
14
Section headings

Section headings (Introduction, Methods, etc.) in
font about same size as authors/affiliations. Can
be bold.
Same font style as Title/Authors/Affiliations
(sans serif)

15
Main text (1)

Main text should be readable from 1.5 m (this is
the smallest font).
Text font with serifs (e.g. Times New Roman)
Can indent first paragraph but not subsequent
paragraphs
Only use full justification if spacing okay.
Otherwise, left justify
Paragraph text okay but use dot points where
appropriate

16
Main text (2)

Be brief. Use figures (and tables) to reduce
number of words (comprehendible in 5 10 min,
500 1000 words)
Methods, in particular should be brief

17
Figure and table legends

Same font size as text
Can use sans serif font
To an informed reader figures and tables, with
their legends, should be able to convey their
main point(s) without reading everything else

18
Figure and table legends

Same font size as text
Can use sans serif font
To an informed reader figures and tables, with
their legends, should be able to convey their
main point(s) without reading everything else

19
Figure and table legends

Same font size as text
Can use sans serif font
To an informed reader figures and tables, with
their legends, should be able to convey their
main point(s) without reading everything else

20
Figure and table legends

Same font size as text
Can use sans serif font
To an informed reader figures and tables, with
their legends, should be able to convey their
main point(s) without reading everything else

21
Title that states (or hints at) the interesting
issue and the study organism, and is formatted
in sentence case (i.e., not in Title Case and
not in ALL CAPS) Your name(s) hereDepartment o
f Biology, Swarthmore College, Swarthmore,
Pennsylvania 19081
Introduction This is a Microsoft Powerpoint templ
ate that has column widths and font sizes
optimized for printing a 36 x 56 posterjust
replace the tips and blah, blah, blah repeat
motifs with actual content. Try to keep your
total word count under 1100. More tips can be
found at the companion site, Advice on designing
scientific posters, located at,
http//www.swarthmore.edu/NatSci/cpurrin1/postera
dvice.htm
Conclusions You can, of course, start your conclu
sions in column three if your results section is
data light. Conclusions should not be mere re
minders of your results. What would one conclude
from the results? What is the broader
significance? Why should anyone care? This
section should refer back to the burning issue
mentioned in the introduction.
Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah. Blah, blah, blah.
Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah. Blah, blah, blah.
Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah. Blah, blah, blah.
Blah, blah, blah. Blah, blah, blah. Blah, blah,
blah. Blah, blah, blah. Blah, blah, blah. Blah,
blah, blah. Blah, blah, blah.

Results
The overall layout for this section can, and
probably should, be modified from this template,
depending on the size and number of charts and
photographs your specific experiment generated.
You might want a single, large column to
accommodate a large map, or perhaps you could
arrange 6 figures in a circle in the center of
the poster do whatever it takes to make your
results graphically clear. To see examples of how
others have abused this template to fit their
presentation needs, perform a Google search for
powerpoint template for scientific posters.
Paragraph format is fine, but sometimes a
simple list of bullet points can communicate
results more effectively
9 out of 12 brainectomized rats survived.
Control rats completed maze faster, on average,
than rats without brains (Fig. 3) (t 9.84, df
21, p 0.032).

Restate hypothesis in brief and indicate if
supported
Summarise main findings
Relate findings to work of others
State relevance
Next steps?

23
References, acknowledgements, further information

References standard format (can omit paper
titles), be sparse (maximum of 5)
Acknowledgements only if necessary
Further information optional, can give an email
or web address (edit so that URL is not
underlined or in a different colour)

24
Some common mistakes
25
Too much material
26
Over-powering use of colours/ inappropriate
colours
27
Flow of sections not obvious
28
Further reading