'LINK' Download Protein Fasta

<div>The sequence I'm providing is certainly not a protein FASTA. I've tried setting them all to their defaults, and I've tried a few example FASTA files, with the same error being raised. My code works fine when provided with a GI number, or a raw sequence. I'm wondering if the error is something to do with the headers of my FASTA sequences being read as part of the sequence itself, and the non-GCTA letters are causing it to be read as a protein sequence.</div><div></div><div></div><div>Hi, hope i can be of some help even this late. The mistake is quite simple and i have done it myself 5 minutes ago while learning qblast.Basically u are using blastn that is for nucleotides instead of blastp to process your protein.</div><div></div><div></div><div></div><div></div><div></div><div>download protein fasta</div><div></div><div>DOWNLOAD: https://t.co/pF9awUDL7Q </div><div></div><div></div><div>Path to the file containing the protein sequencesin FASTA format. If it does not contain an absolute orrelative path, the file name is relative to the currentworking directory, getwd.The default here is to read the P00750.fasta file whichis present in the protseq directory of the protr package.</div><div></div><div></div><div>bar chart summarising the protein assignments across the top-level context descriptions </div><div></div><div>Each bar represents a top-level context description and the percentage of its protein categories occupied by at least one protein from the submitted protein sequences.</div><div></div><div></div><div>bar chart displaying the distribution of protein lengths based on the differences to category-specific reference lengths</div><div></div><div>Each bar represents the number of proteins having a certain length difference to the reference length of the corresponding Mercator4 category.</div><div></div><div></div><div>The TreeViewer shows the protein categorization visualized as hierarchical tree with annotation context descriptions as branch nodes and protein categories as leaf nodes. click on Result Tree Viewerselect a user job to display the results in the tree structure optionally, add pre-evaluated protein annotations from one or more of the listed reference plant speciesclick on the button Show checked data on tree Expanding the tree diagram at a location of interest displays the protein count per species per category. A mouse-over on a count tab pops up the individual names of the categorized proteins.</div><div></div><div>The color of the square in front of a protein description indicates the encoding genome of the corresponding protein encoded by the nuclear genome encoded by the plastidial genome in most or all plant clades encoded by the mitochondrial genome in most or all plant clades</div><div></div><div></div><div>The HeatmapViewer displays the comparison of two protein sets with protein categories as spots colored according to the comparison outcome. click on Result Heatmap Viewerselect a data set proteome A (user jobs will be displayed at the bottom of the drop down list)select a second data set proteome B for comparison from the second drop down listclick on the button Show protein comparison on heatmap  A mouse-over on a spot pops up the description of the protein category and its context.</div><div></div><div>The color of a spot indicates whether the protein category is present in one or both protein sets and whether one of the protein sets has more or less proteins assigned to that protein category. not present in either proteome (default state before selecting the protein sets) present only in proteome A  present only in proteome B present in both proteomes, both proteomes contain the same number of paralogs proteome B contains 1 paralog more than proteome A proteome B contains 1 paralog less than proteome A proteome B contains 2+ paralogs more than proteome A proteome B contains 2+ paralogs less than proteome AIn addition, a green or blue background-color of a spot indicates a non-nuclear encoding of the corresponding protein encoded by the plastidial genome in most or all plant clades encoded by the mitochondrial genome in most or all plant cladesThe Heatmap Viewer creates diagrams in Scalable Vector Graphics (SVG) format which conveniently can be downloaded with a browser that has an add-on for SVG export installed (for example the add-on SVG Export).</div><div></div><div></div><div>The online Mercator4 enrichment analysis identifies protein classes that are over- or under-represented within the full set of Mercator4 protein categories (BINs). The method uses statistical approaches to identify significantly enriched or depleted groups of protein categories.upload the Mercator4 mapping result file that maps protein sequences to Mercator4 protein categories (BINs)select the type of the Fisher's exact testthe one-sided exact test - specify also the over-representation or the under-representation analysisthe two-sided exact test to perform both the over- and under-representation analysisenter a False Discovery Rate (FDR)-adjusted p-value to specify the tolerated ratio of the false positive results to the total positive resultsenter a list of Genes of Interest enter a list of Background Genes The format of the lists requires one gene identifier per line. The gene identifiers have to be identical to the identifiers used in the Mercator4 mapping result file.</div><div></div><div>For example, in a typical RNA-Seq experiment, the Genes of Interest refer to differentially expressed genes, while the Background Genes refer to non-differentially expressed genes.</div><div></div><div></div><div></div><div></div><div></div><div></div><div>When an enrichment analysis finishes, a tabular output is generated and displayed. It shows the Mercator4 protein categories found to be enriched or depleted along with a description. Click on the Download CSV button to download the table.</div><div></div><div></div><div>The FASTA-format is a text-based format for representing protein or nucleotide sequences. The FASTA validator allows users to test the FASTA-format of a sequence file before submitting it to Mercator4. Each record in the FASTA-formatted file will be validated and all records not supported by Mercator4 will be listed. Optionally, the user can check the Create Mercator4-valid FASTA file checkbox and download a Mercator4-valid version of the file with all records containing errors removed.</div><div></div><div></div><div>General requirements for a FASTA-formatted fileeach entry in the file starts with > followed by the name of the record the record name must be unique within the file the maximal sequence length allowed is 25000 characters the file must not contain a mix of nucleotide and protein sequences</div><div></div><div></div><div>Mercator4 is an online tool to assign functional annotations to protein sequences of land plants (including flowering plants, ferns, horsetails, mosses, liverworts, and hornworts). Mercator4 can also annotate highly conserved proteins among the green algae groups of Archaeplastida. The results from user-submitted protein sequences can be visualized online and/or downloaded for further analysis.</div><div></div><div></div><div>The Mercator4 functional annotations are designed as a hierarchical framework ("Mapman4 framework") with each child node term being more specialised than its parent node term. The framework has 31 top-level categories (see figure above) which end with the protein categories at the leaf-level. Protein sequences are only assigned to leaf-level categories but the annotation is based on the full hierarchical path including all levels.</div><div></div><div></div><div>A protein's context and category is depicted as a hierarchical number. The first number of the hierarchy refers to one of the 31 Mercator4 top-level categories (see list in top figure). Protein sequences which cannot be categorized by Mercator4, are assigned by default to the top-level protein pseudo-category BIN-35 "no Mercator4 annotation" (the pseudo-category BIN-35 was introduced in an old framework developed for the MapMan desktop application, Thimm et al. 2004).</div><div></div><div></div><div>For a standard plant proteome, approximately 55% to 60% of the predicted protein sequences can be categorized by Mercator4. An option to increase the protein annotation rate is the annotation tool ProtScriber v.0.1.3 (Eiteneuer and Hallab, unpublished, available on GitHub). Another option is the alignment tool Blast by which the Swiss-Prot protein annotation of a similar protein is selected (Swiss-Prot dataset of Viridiplantae proteins). For an average plant proteome, ProtScriber and Swiss-Prot annotations are available for more than 60% of all the plant protein sequences, but most protein descriptions are less specific than Mercator4 protein categories. Mercator4 protein (pseudo-)categoryMercator4 </div><div></div><div>protein category other protein</div><div></div><div>descriptionBIN-1 .. BIN-30 or BIN-50 yesyes or noBIN-35.1  no Mercator4 annotation.other annotation availablenoyesBIN-35.2  no Mercator4 annotation.no other annotationnono</div><div></div><div></div><div>When a Mercator4 job finishes, an overview of the results is displayed aslist that gives a simple statistics on how many of the protein sequences were successfully categorizedbar chart that summarises the protein assignments across the top-level context descriptionsbar chart that displays the distribution of protein lengths based on the differences to category-specific reference lengths (each reference length has been evaluated from the median length of matching proteins from 250 or more land plant species)  </div><div></div><div></div><div>The Mercator4 protein annotation results can be downloaded for any further processing on your local computer ('mercator4_result.zip' and 'mercator4_result_data_fasta.zip')usage in the MapMan desktop application ('mercator4_result.zip')usage in the online Mercator4 enrichment analysis('mercator4_result.zip')</div><div></div><div></div><div>The protein annotations can also be visualized by two interactive online toolsTreeViewer shows the protein categorization visualized as hierarchical tree with annotation context descriptions as branch nodes and protein categories as leaf nodesHeatmapViewer displays the comparison of two protein sets with protein categories as spots colored according to the comparison outcome</div><div></div><div> df19127ead</div>