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📄 water.txt

📁 emboss的linux版本的源代码
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//  Database entry: tsw:hbb_humanID   HBB_HUMAN      STANDARD;      PRT;   146 AA.AC   P02023;DT   21-JUL-1986 (Rel. 01, Created)DT   21-JUL-1986 (Rel. 01, Last sequence update)DT   15-JUL-1999 (Rel. 38, Last annotation update)DE   HEMOGLOBIN BETA CHAIN.GN   HBB.OS   Homo sapiens (Human), Pan troglodytes (Chimpanzee), andOS   Pan paniscus (Pygmy chimpanzee) (Bonobo).OC   Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Mammalia;OC   Eutheria; Primates; Catarrhini; Hominidae; Homo.RN   [1]RP   SEQUENCE.RC   SPECIES=HUMAN;RA   BRAUNITZER G., GEHRING-MULLER R., HILSCHMANN N., HILSE K., HOBOM G.,RA   RUDLOFF V., WITTMANN-LIEBOLD B.;RT   "The constitution of normal adult human haemoglobin.";RL   Hoppe-Seyler's Z. Physiol. Chem. 325:283-286(1961).RN   [2]RP   SEQUENCE FROM N.A.RC   SPECIES=HUMAN;RX   MEDLINE; 81064667.RA   LAWN R.M., EFSTRATIADIS A., O'CONNELL C., MANIATIS T.;RT   "The nucleotide sequence of the human beta-globin gene.";RL   Cell 21:647-651(1980).RN   [3]RP   SEQUENCE OF 121-146 FROM N.A.RC   SPECIES=HUMAN;RX   MEDLINE; 85205333.RA   LANG K.M., SPRITZ R.A.;RT   "Cloning specific complete polyadenylylated 3'-terminal cDNART   segments.";RL   Gene 33:191-196(1985).RN   [4]RP   X-RAY CRYSTALLOGRAPHY (2.5 ANGSTROMS) OF DEOXYHEMOGLOBIN.RC   SPECIES=HUMAN;RX   MEDLINE; 76027820.RA   FERMI G.;RT   "Three-dimensional fourier synthesis of human deoxyhaemoglobin atRT   2.5-A resolution: refinement of the atomic model.";RL   J. Mol. Biol. 97:237-256(1975).RN   [5]RP   SEQUENCE.RC   SPECIES=P.TROGLODYTES;RX   MEDLINE; 66071496.RA   RIFKIN D.B., KONIGSBERG W.;RT   "The characterization of the tryptic peptides from the hemoglobin ofRT   the chimpanzee (Pan troglodytes).";RL   Biochim. Biophys. Acta 104:457-461(1965).RN   [6]  [Part of this file has been deleted for brevity]FT   VARIANT     140    140       A -> T (IN ST JACQUES: O2 AFFINITY UP).FT                                /FTId=VAR_003081.FT   VARIANT     140    140       A -> V (IN PUTTELANGE; POLYCYTHEMIA;FT                                O2 AFFINITY UP).FT                                /FTId=VAR_003082.FT   VARIANT     141    141       L -> R (IN OLMSTED; UNSTABLE).FT                                /FTId=VAR_003083.FT   VARIANT     142    142       A -> D (IN OHIO; O2 AFFINITY UP).FT                                /FTId=VAR_003084.FT   VARIANT     143    143       H -> D (IN RANCHO MIRAGE).FT                                /FTId=VAR_003085.FT   VARIANT     143    143       H -> Q (IN LITTLE ROCK; O2 AFFINITY UP).FT                                /FTId=VAR_003086.FT   VARIANT     143    143       H -> P (IN SYRACUSE; O2 AFFINITY UP).FT                                /FTId=VAR_003087.FT   VARIANT     143    143       H -> R (IN ABRUZZO; O2 AFFINITY UP).FT                                /FTId=VAR_003088.FT   VARIANT     144    144       K -> E (IN MITO; O2 AFFINITY UP).FT                                /FTId=VAR_003089.FT   VARIANT     145    145       Y -> C (IN RAINIER; O2 AFFINITY UP).FT                                /FTId=VAR_003090.FT   VARIANT     145    145       Y -> H (IN BETHESDA; O2 AFFINITY UP).FT                                /FTId=VAR_003091.FT   VARIANT     146    146       H -> D (IN HIROSHIMA; O2 AFFINITY UP).FT                                /FTId=VAR_003092.FT   VARIANT     146    146       H -> L (IN COWTOWN; O2 AFFINITY UP).FT                                /FTId=VAR_003093.FT   VARIANT     146    146       H -> P (IN YORK; O2 AFFINITY UP).FT                                /FTId=VAR_003094.FT   VARIANT     146    146       H -> Q (IN KODAIRA; O2 AFFINITY UP).FT                                /FTId=VAR_003095.FT   HELIX         5     15FT   TURN         16     17FT   HELIX        20     34FT   HELIX        36     41FT   HELIX        43     45FT   HELIX        51     55FT   TURN         56     56FT   HELIX        58     75FT   TURN         76     77FT   HELIX        78     94FT   TURN         95     96FT   TURN        100    100FT   HELIX       101    121FT   HELIX       124    142FT   TURN        143    144SQ   SEQUENCE   146 AA;  15867 MW;  EC9744C9 CRC32;     VHLTPEEKSA VTALWGKVNV DEVGGEALGR LLVVYPWTQR FFESFGDLST PDAVMGNPKV     KAHGKKVLGA FSDGLAHLDN LKGTFATLSE LHCDKLHVDP ENFRLLGNVL VCVLAHHFGK     EFTPPVQAAY QKVVAGVANA LAHKYH//Output file format   The output is a standard EMBOSS alignment file.   The results can be output in one of several styles by using the   command-line qualifier -aformat xxx, where 'xxx' is replaced by the   name of the required format. Some of the alignment formats can cope   with an unlimited number of sequences, while others are only for pairs   of sequences.   The available multiple alignment format names are: unknown, multiple,   simple, fasta, msf, trace, srs   The available pairwise alignment format names are: pair, markx0,   markx1, markx2, markx3, markx10, srspair, score   See: http://emboss.sf.net/docs/themes/AlignFormats.html for further   information on alignment formats.  Output files for usage example  File: hba_human.water######################################### Program: water# Rundate: Sat 15 Jul 2006 12:00:00# Commandline: water#    [-asequence] tsw:hba_human#    [-bsequence] tsw:hbb_human# Align_format: srspair# Report_file: hba_human.water#########################################=======================================## Aligned_sequences: 2# 1: HBA_HUMAN# 2: HBB_HUMAN# Matrix: EBLOSUM62# Gap_penalty: 10.0# Extend_penalty: 0.5## Length: 145# Identity:      63/145 (43.4%)# Similarity:    88/145 (60.7%)# Gaps:           8/145 ( 5.5%)# Score: 293.5###=======================================HBA_HUMAN          2 LSPADKTNVKAAWGKVGAHAGEYGAEALERMFLSFPTTKTYFPHF-DLS-     49                     |:|.:|:.|.|.||||  :..|.|.|||.|:.:.:|.|:.:|..| |||HBB_HUMAN          3 LTPEEKSAVTALWGKV--NVDEVGGEALGRLLVVYPWTQRFFESFGDLST     50HBA_HUMAN         50 ----HGSAQVKGHGKKVADALTNAVAHVDDMPNALSALSDLHAHKLRVDP     95                         .|:.:||.|||||..|.::.:||:|::....:.||:||..||.|||HBB_HUMAN         51 PDAVMGNPKVKAHGKKVLGAFSDGLAHLDNLKGTFATLSELHCDKLHVDP    100HBA_HUMAN         96 VNFKLLSHCLLVTLAAHLPAEFTPAVHASLDKFLASVSTVLTSKY    140                     .||:||.:.|:..||.|...||||.|.|:..|.:|.|:..|..||HBB_HUMAN        101 ENFRLLGNVLVCVLAHHFGKEFTPPVQAAYQKVVAGVANALAHKY    145#---------------------------------------#---------------------------------------   The Identity: is the percentage of identical matches between the two   sequences over the reported aligned region (including any gaps in the   length).   The Similarity: is the percentage of matches between the two sequences   over the reported aligned region (including any gaps in the length).Data files   For protein sequences EBLOSUM62 is used for the substitution matrix.   For nucleotide sequence, EDNAFULL is used. Others can be specified.   EMBOSS data files are distributed with the application and stored in   the standard EMBOSS data directory, which is defined by the EMBOSS   environment variable EMBOSS_DATA.   To see the available EMBOSS data files, run:% embossdata -showall   To fetch one of the data files (for example 'Exxx.dat') into your   current directory for you to inspect or modify, run:% embossdata -fetch -file Exxx.dat   Users can provide their own data files in their own directories.   Project specific files can be put in the current directory, or for   tidier directory listings in a subdirectory called ".embossdata".   Files for all EMBOSS runs can be put in the user's home directory, or   again in a subdirectory called ".embossdata".   The directories are searched in the following order:     * . (your current directory)     * .embossdata (under your current directory)     * ~/ (your home directory)     * ~/.embossdataNotes   water is a true implementation of the Smith-Waterman algorithm and so   produces a full path matrix. It therefore cannot be used with genome   sized sequences unless you have a lot of memory and a lot of time.References    1. Smith TF, Waterman MS (1981) J. Mol. Biol 147(1);195-7Warnings   Local alignment methods only report the best matching areas between   two sequences - there may be a large number of alternative local   alignments that do not score as highly. If two proteins share more   than one common region, for example one has a single copy of a   particular domain while the other has two copies, it may be possible   to "miss" the second and subsequent alignments. You will be able to   see this situation if you have done a dotplot and your local alignment   does not show all the features you expected to see.   water is for aligning the best matching subsequences of two sequences.   It does not necessarily align whole sequences against each other; you   should use needle if you wish to align closely related sequences along   their whole lengths.   A true Smith Waterman implementation like water needs memory   proportional to the product of the sequence lengths. For two sequences   of length 10,000,000 and 1,000 it therefore needs memory proportional   to 10,000,000,000 characters. Two arrays of this size are produced,   one of ints and one of floats so multiply that figure by 8 to get the   memory usage in bytes. That doesn't include other overheads. Therefore   only use water and needle for accurate alignment of reasonably short   sequences.   If you run out of memory, try using supermatcher or matcher.Diagnostic Error MessagesUncaught exception Assertion failed raised at ajmem.c:xxx   Probably means you have run out of memory. Try using supermatcher or   matcher if this happens.Exit status   0 if successful.Known bugs   None.See also   Program name                         Description   matcher      Finds the best local alignments between two sequences   seqmatchall  All-against-all comparison of a set of sequences   supermatcher Match large sequences against one or more other sequences   wordfinder   Match large sequences against one or more other sequences   wordmatch    Finds all exact matches of a given size between 2 sequences   matcher is a local alignment program that gives as good an alignment   as   water   but it uses far less memory. However,   water   runs twice as fast as matcher.   supermatcher is designed for local alignments of very large sequences.   It gives good results as long as there is not significant amounts of   insertion or deletion in the alignment.   supermatcher Finds a match of a large sequence against one or more   sequences matcher Finds the best local alignments between two   sequencesAuthor(s)   Alan Bleasby (ajb 

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