解析两个文件以合并数据并创建新的Fasta文件

如何解决解析两个文件以合并数据并创建新的Fasta文件

我有两个文件: human.fa protein-coding_gene.txt (有数百种不同的蛋白质信息)。我必须先解析蛋白质编码基因,然后再解析human.fa(10个蛋白质名称),然后将其合并到一个新的fasta文件中。

protein-coding_gene.txt:

Protein1 PreviousNames1 PreviousSymbols1 Symbol1 Chromosome1
Protein2 PreviousNames2 PreviousSymbols2 Symbol2 Chromosome2

human.fa:

>Protein1  Sequence1
>Protein2 Sequence2

我需要一个新的fasta文件来输出:

>Protein1 Synonyms1 Chromsome1 Sequence1
>Protein2 Synonyms2 Chromosome2 Sequence2 

我当前的代码是:

class Protein:
    
    def __init__(self,Name,Synonyms,Chromosome):
        self.Name = Name
        self.Synonyms = Synonyms
        self.Chromosome = Chromosome
             
Proteins = []
with open('protein-coding_gene.txt','r') as file:
    for line in file:
        parseline = line.rstrip().split("\t")
        Name = parseline[2]
        Synonyms = parseline[6]
        Chromosome = parseline[7]
        Proteins.append(Protein(Name,Chromosome))


f = open("human.fa")

seqs = {}
for i in f:
    line = i.strip()
    if line[0] == '>':
        l = line.split()
        gene = l[0][1:]
        seqs[gene] = ''
    else:
        seqs[gene] = seqs[gene] + line

        
f.close()

        
for p in Proteins:
    print(p.Name,p.Synonyms,p.Chromosome,sep=",")

for name,seq in seqs.items():
        print (name,seq)
        

from Bio import SeqIO
        
newhuman = []
SeqIO.write[newhuman,"fastaML.fa","fasta")

现在,它会打印我想要的蛋白质编码文件(名称,同义词,染色体)中的所有内容,并打印整个human.fa文件。我需要它来进行排序,并且仅使用来自protein-coding_gene.txt和序列的信息打印出fasta文件的10个蛋白质名称。任何帮助将不胜感激。

解决方法

您想要的格式不是有效的Fasta格式。但是,如果您仍希望在fastaML.fa中使用相同的输出,则不应使用SeqIO.write()方法。而是应该使用基本的文件处理。

class Protein:
    
    def __init__(self,Name,Synonyms,Chromosome):
        self.Name = Name
        self.Synonyms = Synonyms
        self.Chromosome = Chromosome

    def add_sequence(self,Sequence):
        self.Sequence = Sequence
             
Proteins = []
with open('protein-coding_gene.txt','r') as file:
    for line in file:
        parseline = line.rstrip().split(" ")
        Name = parseline[0]
        Synonyms = parseline[1:4]
        Chromosome = parseline[4]
        Proteins.append(Protein(">"+Name,Chromosome))


f = open("human.fa")

seqs = {}
gene = ""
for i in f:
    line = i.strip()
    if line[0] == '>':
        l = line.split()
        gene = l[0]
        seqs[gene] = l[1]
    else:
        seqs[gene] = seqs[gene] + line

        
f.close()

for p in Proteins:
    for name,seq in seqs.items():
        if(p.Name == name):
            p.add_sequence(seq)     

with open('fastaML.fa','w') as file:
    for p in Proteins:
        file.write(p.Name + " " + p.Synonyms[0] + " " + p.Synonyms[1] + " " + p.Synonyms[2] + " " + p.Chromosome + " " + p.Sequence + "\n")
        #I have used single space here. You can modify it as per your need.

Here is a working repl for your reference

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams['font.sans-serif'] = ['SimHei'] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -> systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping("/hires") public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate<String
使用vite构建项目报错 C:\Users\ychen\work>npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)> insert overwrite table dwd_trade_cart_add_inc > select data.id, > data.user_id, > data.course_id, > date_format(
错误1 hive (edu)> insert into huanhuan values(1,'haoge'); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive> show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 <configuration> <property> <name>yarn.nodemanager.res