What paper to cite when using this website?
For citing results and publications form this website, please use:
Martin J, Rosa BA, Ozersky P, Hallsworth-Pepin K, Zhang X, Bhonagiri-Palsikar V, Tyagi R, Wang Q, Choi YJ, Gao X, McNulty SN, Brindley PJ, Mitreva M. Helminth.net: expansions to Nematode.net and an introduction to Trematode.net. Nucleic Acids Res. 2015 Jan;43(Database issue):D698-706. doi: 10.1093/nar/gku1128. Epub 2014 Nov 11. PubMed PMID: 25392426; PubMed Central PMCID: PMC4383941.
Martin J., Abubucker S., Wylie T., Yin Y., Wang Z. and Mitreva M. (2009) Nematode.net update 2008: improvements enabling more efficient data mining and comparative nematode genomics Nucleic Acids Research 37 (suppl 1): D571-D578
Wylie T., Martin J., Dante M., Mitreva M., Clifton S.C., Chinwalla A., Waterston R.H., Wilson R.K. and McCarter J.P. (2004) Nematode.net: a tool for navigating sequences from parasitic and free-living nematodes Nucleic Acids Research 32 (suppl 1): D423-D426
What is nematode.net, who maintains
it, and how did it start?
Nematode.net is the home page of the parasitic nematode EST project at
The Genome Institute at Washington University in St. Louis. The site was
established in 2000 as a component of the NIH-NIAID grant "A Genomic
Approach to Parasites from the Phylum Nematoda". While Nematode.net
started as a project site, over the years it became a community resource
dedicated to the study of parasitic nematodes. The site is the property of
What are nematodes and why do
Nematodes are unsegmented round worms. In terms of individuals, nematodes
account for an estimated four of every five animals in the world (The
other fifth are mostly beetles). There are 10,000 known species and the
actual number may be more than 100,000. While most nematodes are
free-living, parasitic nematodes pose major challenges to human health and
agriculture. Parasitic nematodes, including whipworm, Ascaris, hookworm,
and filarial worms, currently infect about 3 billion people. Plant
parasitic nematodes, such as root knot nematode, cause an estimated 80
billion dollars in crop damage annually. The free-living nematode C.
elegans has been used extensively since the late 1960s as a genetic model
organism and is among the most completely characterized of all metazoans.
The C. elegans genome was the first comprehensively sequenced metazoan
What are Sanger ESTs/454 cDNAs and why were they
Expressed sequence tags (ESTs) are single pass sequences from cDNA clones
using Sanger/ABI sequencing platform. They provide partial sequences
corresponding to messenger RNAs and provide a rapid and cost-effective
method for initial characterization of genomes. However, they tend to be
redundant and do not provide information about non-exonic sequences or
genome organization. ESTs can be used to identify individual genes within
parasitic nematodes. Such genes can be targets for anthelmintics,
vaccines, or nematicides. Gene sequences are also critical
reagents for most molecular studies of an organism. Most ESTs being
generated for the TGI's parasitic nematode project are 5' reads. Some
libraries are generated by PCR using the nematode transplice leader SL1,
thereby ensuring that the 5' end is sequenced. Other libraries are
directionally cloned but without selection for a splice leader.
Due to the proliferation of large-scale DNA-sequencing projects in
the post Sanger sequencing era, alternative sequencing methods were sought
to reduce time and cost were sought prior to the advent of current NGS
technologies. One such 'massively parallel' (for its time) sequencing platform
is the FLX GS20 sequencer from 454 Life Sciences. This is a sequencing system
that offered a 100-fold increase in throughput over the previous state-of-the-art
Sanger sequencing technology on capillary electrophoresis instruments.
Our center went through a period where cDNA sequencing was performed using
those GS FLX pyrosequencers. We used distinct pipelines for the analysis of
ABI and FLX sequences including different methods for basecalling, linker
trimming, low complexity region and contaminant screening, and return of
high-quality sequences (Mitreva and Mardis, 2009; Methods Mol Biol.
2009;533:153-87). The generated sequences are often of varying length and
quality and their integration requires algorithms that can handle the
How are collaborations established?
In total, 30 collaborations have been established with investigators
internationally, providing access to
material from collected nematodes. Species have been selected for 1)
medical or economic importance, 2) use as an accessible system for studies
with an interested scientific community, 3) distribution across the phyla
Nematoda. Individuals interested in establishing collaborations should
contact Makedonka Mitreva (firstname.lastname@example.org).
How do I make use of the various tools presented
HelmCoP gene search
Search the HelmCoP database for genes using supported queries. For information regarding gene naming for specific species, please refer to the HelmCoP FAQ. A typical HelmCoP user will first build a list of genes for the organism(s) they are interested in using the various filters provided. Genes of interest can be further explored by identifying the ortholog in which a given gene resides, and copy-pasting that ortholog name into a search constructed on the HelmCoP orthologs page. In this manner related genes meeting your filters can be found. HelmCoP can be searched using GO annotations, KEGG orthology (KO), and Interpro domains. Essentiality can also be used in the search to find genes that have RNAi phenotypes based on association with C. elegans genes. Genes with a PDB structure, signal peptide and a particular DrugBank ID can also be found. Further, HelmCoP can be searched for genes that are potential vaccine candidates. HelmCoP also provides extensive annotation of included proteins (see the chart at the bottom of this page). Output is originally displayed in HTML format, but a tab-delimited version of your query output is available via the Full Results Download button at the top of the results page. Please refer to the HelmCoP FAQ for additional information.
HelmCoP ortholog search
This page gives the user access to orthology and homology information for genes of interest. The database of helminth proteomes is the most comprehensive available to date with 38,776 orthologous groups from 18 species. Orthology was inferred using OrthoMCL (Li, L Genome Res. 13:2178-2189). The user can require that a certain species be included in an orthologous group, while excluding another species from a search, enabling the user to isolate groups of proteins found in a select group of species. HelmCoP can also be searched using GO annotations, KEGG orthology (KO), and Interpro domains. Essentiality can also be used in the search to find genes that have RNAi phenotype, based on association with C. elegans genes. Genes with a PDB structure, signal peptide and a particular DrugBank ID can also be found. Further, HelmCoP can be searched for genes that are potential vaccine candidates. HelmCoP also provides extensive annotation of included proteins (see chart at the bottom of this page). Using orthology, annotation can be carefully expanded to other proteins in an orthologous group, yielding many new insights into proteins with limited information. The page provides insights into gene duplications, deletions, and insertions. This page is particularly useful for comparative genomics and drug discovery. Output is originally displayed in HTML format, but a tab-delimited version of your query output is available via the Full Results Download button at the top of the results page. Please refer to the HelmCoP FAQ for additional information.
NemaBLAST vs. reads grouped by library
NemaBLAST vs reads grouped by library is typically used to search for your sequence of interest amongst a custom selection of libraries from species of interest. For example, you may search your query against Trichinella spiralis cDNAs, but exclude all libraries except the adult libraries "Trichinella spiralis adult pAMP1 v1" and "Trichinella spiralis adult SL1 TOPO v1".
NemaBLAST vs. EST contigs & genes
NemaBLAST vs EST contigs & genes is typically used to screen for the presence or absence of your query across a spectrum of organisms.
NemaGene cluster search
Most access into the NemaGene database comes from other tools within the Nematode.net site such as the contig links from NemaPath which directly jump to the contig details pages that are the terminus of a NemaGene search. But the NemaGene cluster search form can also be of use when you have identified a contig, isotig or gene from some other Nematode.net resources (eg. a pan-phylum NemaBLAST result or a cluster of interest from our FTP service) and want more detail on that sequence entity. Another common use would be identifying a stage specific set of isotigs/contigs for a given organism using the 'Stage' search selection.
Uses for this information will vary depending on the experiment described, its state of annotation, and the quality of the assembly. For assemblies annotated with variants this tool can highlight genes that differ between distinct populations of worms, for example a drug-resistant population versus a normal population. For less-annotated (or unannotated) assemblies this tool can provide a high level view of the gene models.
AmiGO provides a means to identify available transcript resources for a given biological process, cellular component or molecular function of interest. The pie-charts provided at every node give a quick view of how much worm data is available under that term, and by clicking on the term itself you are presented with contig names mapping into that term, which can be used to search NemaGene for more information on that transcript assembly contig*.
*note: contig names in AmiGO are extended versions of the NemaGene contig names. To search for a contig name in NemaGene, just use the first 7 characters of the name (eg. AE00825 rather than AE00825_p10_2).
NemaPath provides information about the presence, absence and composition of enzymatic pathways in given organisms based on actual transcript data and allows for the comparison of any two organisms represented in the database. It also provides higher-order comparisons across clades and hosts. This is useful in many ways, from identifying potential drug targets to helping understand the differences between species utilizing different survival strategies. Browsing the clade- or host- specific NemaPath comparisons can offer insight into taxa defining differences, while the ability to directly compare any two species in the database provides a direct visualization of enzymatic differences between the two.