Python中的jbat1接口:简洁高效的编程接口

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本文介绍了Python中的jbat1接口,它以其简洁性和易用性为开发者提供高效编程体验。通过示例展示了如何使用jbat1接口读取和处理文件,并提及其在网络请求、数据库操作、图形界面等多个方面的应用,帮助开发者提高开发效率。

Python是一种广泛使用的高级编程语言,提供了丰富的库和接口来简化开发过程。其中,jbat1接口是一个非常有用的工具,它为开发者提供了一种简洁高效的编程接口,使得编写代码变得更加轻松和高效。

jbat1接口的主要特点是其简洁性和易用性。它提供了一组简单而直观的函数和方法,可以快速实现各种常见的编程任务。这使得开发者能够以更少的代码实现功能,从而提高开发效率。

下面是一个使用jbat1接口的示例代码,展示了如何使用它来读取和处理一个文本文件:

import jbat1

def process_file(file_path):
    with jbat1.open(file_path) 
似乎并没有chromap的使用,我需要的是chromap和yahs联合进行HIC辅助染色体水平组装,需要用到这些参数,请整理参数进脚本“# chromap比对步骤 # 基于博客:https://xuzhougeng.blog.youkuaiyun.com/article/details/128769452 set -e # 检查参数 if [ "$#" -ne 3 ]; then echo "用法: $0 <contigs.fa> <R1.fastq> <R2.fastq>" exit 1 fi CONTIGS=$1 R1=$2 R2=$3 echo "=== 开始chromap比对 ===" echo "Contigs: $CONTIGS" echo "R1 reads: $R1" echo "R2 reads: $R2" # 创建索引 echo "创建contigs索引..." samtools faidx $CONTIGS chromap -i -r $CONTIGS -o contigs.index # 比对 echo "开始Hi-C数据比对..." chromap \ --preset hic \ -r $CONTIGS \ -x contigs.index \ --remove-pcr-duplicates \ -1 $R1 \ -2 $R2 \ --SAM \ -o aligned.sam \ -t 8 # 转换为BAM并排序 echo "转换为BAM格式并排序..." samtools view -bh aligned.sam | samtools sort -@ 8 -n > aligned.bam rm aligned.sam echo "比对完成!结果文件:aligned.bam"”#!/bin/bash # yahs scaffolding步骤 # 基于博客:https://xuzhougeng.blog.youkuaiyun.com/article/details/128769452 set -e # 检查参数 if [ "$#" -ne 2 ]; then echo "用法: $0 <contigs.fa> <aligned.bam>" exit 1 fi CONTIGS=$1 BAM=$2 echo "=== 开始yahs scaffolding ===" echo "Contigs: $CONTIGS" echo "BAM file: $BAM" # 转换BAM到BED格式 echo "转换BAM到BED格式..." samtools view -bh -u -F0xF0C -q0 $BAM | \ bedtools bamtobed | \ awk -v OFS='\t' '{$4=substr($4,1,length($4)-2); print}' > aligned.bed # 运行yahs echo "运行yahs scaffolding..." yahs $CONTIGS aligned.bed echo "Scaffolding完成!" echo "主要结果文件:" echo "- yahs.out_scaffolds_final.agp" echo "- yahs.out_scaffolds_final.fa" echo "- yahs.out.bin"“#!/bin/bash # 为JuiceBox准备输入文件 # 基于博客:https://xuzhougeng.blog.youkuaiyun.com/article/details/128769452 set -e # 检查参数 if [ "$#" -ne 2 ]; then echo "用法: $0 <yahs_output_prefix> <contigs.fa>" exit 1 fi YAHS_PREFIX=$1 CONTIGS=$2 echo "=== 为JuiceBox准备输入文件 ===" echo "YAHS prefix: $YAHS_PREFIX" echo "Contigs: $CONTIGS" # 检查必需文件 if [ ! -f "${YAHS_PREFIX}.bin" ]; then echo "错误:找不到 ${YAHS_PREFIX}.bin 文件" exit 1 fi if [ ! -f "${YAHS_PREFIX}_scaffolds_final.agp" ]; then echo "错误:找不到 ${YAHS_PREFIX}_scaffolds_final.agp 文件" exit 1 fi # 准备juicer输入 echo "准备juicer pre输入..." juicer pre -a -o out_JBAT \ ${YAHS_PREFIX}.bin \ ${YAHS_PREFIX}_scaffolds_final.agp \ ${CONTIGS}.fai # 生成.hic文件 echo "生成.hic文件..." JUICER="juicer_tools.jar" if [ ! -f "$JUICER" ]; then echo "错误:找不到 juicer_tools.jar,请先下载" exit 1 fi asm_size=$(awk '{s+=$2} END{print s}' ${CONTIGS}.fai) java -Xmx8G -jar $JUICER \ pre out_JBAT.txt out_JBAT.hic <(echo "assembly ${asm_size}") echo "JuiceBox输入文件准备完成!" echo "主要文件:" echo "- out_JBAT.hic (可导入JuiceBox)" echo "- out_JBAT.assembly" echo "- out_JBAT.txt"”#!/bin/bash # JuiceBox后处理步骤 # 基于博客:https://xuzhougeng.blog.youkuaiyun.com/article/details/128769452 set -e # 检查参数 if [ "$#" -ne 2 ]; then echo "用法: $0 <review.assembly> <contigs.fa>" exit 1 fi REVIEW_ASSEMBLY=$1 CONTIGS=$2 echo "=== JuiceBox后处理 ===" echo "Review assembly: $REVIEW_ASSEMBLY" echo "Contigs: $CONTIGS" # 检查必需文件 if [ ! -f "$REVIEW_ASSEMBLY" ]; then echo "错误:找不到 $REVIEW_ASSEMBLY 文件" exit 1 fi if [ ! -f "out_JBAT.liftover.agp" ]; then echo "错误:找不到 out_JBAT.liftover.agp 文件" exit 1 fi # 运行juicer post echo "运行juicer post处理..." JUICER="juicer_tools.jar" java -Xmx8G -jar $JUICER \ post -o out_JBAT \ $REVIEW_ASSEMBLY \ out_JBAT.liftover.agp \ $CONTIGS echo "后处理完成!" echo "最终结果:" echo "- out_JBAT.FINAL.agp" echo "- out_JBAT.FINAL.fa"“
11-30
根据这些内容重新调整脚本“#!/bin/bash ROOT_DIR=$(dirname "$0") TEST_OUTDIR=$(mktemp -d ./TEST.XXXXXX) ################################ START OF YAHS SCAFFOLDING TEST ################################ #### download the test data test="LYZE01" (echo "Downloading test data..." wget -P ${TEST_OUTDIR} -q https://zenodo.org/record/7079219/files/${test}.contigs.fasta.gz && \ wget -P ${TEST_OUTDIR} -q https://zenodo.org/record/7079219/files/${test}.contigs.fasta.gz.fai && \ wget -P ${TEST_OUTDIR} -q https://zenodo.org/record/7079219/files/${test}.hic.bed.gz && \ echo "Downloading test data DONE.") || { echo "Downloading test data FAILED."; rm -rf ${TEST_OUTDIR}; exit 1; } out="test_out" contigs="${test}.contigs.fasta.gz" # need to be indexed, i.e., ${test}.contigs.fasta.gz.fai is presented hicaln="${test}.hic.bed.gz" # could be .bed, .bam or .bin file #### run yahs scaffolding (${ROOT_DIR}/../yahs -o ${TEST_OUTDIR}/${out} ${TEST_OUTDIR}/${contigs} ${TEST_OUTDIR}/${hicaln} >/dev/null 2>&1 && echo "YaHS scaffolding DONE.") || { echo "YaHS scaffolding FAILED."; rm -rf ${TEST_OUTDIR}; exit 1; } (${ROOT_DIR}/../agp_to_fasta ${TEST_OUTDIR}/test_out_scaffolds_final.agp ${TEST_OUTDIR}/${contigs} -o ${TEST_OUTDIR}/${out}.fa >/dev/null 2>&1 && echo "AGP to FASTA DONE.") || { echo "AGP to FASTA FAILED."; rm -rf ${TEST_OUTDIR}; exit 1; } (${ROOT_DIR}/../juicer pre ${TEST_OUTDIR}/test_out.bin ${TEST_OUTDIR}/test_out_scaffolds_final.agp ${TEST_OUTDIR}/LYZE01.contigs.fasta.gz.fai >${TEST_OUTDIR}/test_out.aln.txt 2>/dev/null && echo "Juicer pre DONE.") || { echo "Juicer pre FAILED."; rm -rf ${TEST_OUTDIR}; exit 1; } (${ROOT_DIR}/../juicer pre ${TEST_OUTDIR}/test_out.bin ${TEST_OUTDIR}/test_out_scaffolds_final.agp ${TEST_OUTDIR}/LYZE01.contigs.fasta.gz.fai -a -o ${TEST_OUTDIR}/test_out.JBAT >/dev/null 2>&1 && echo "Juicer pre -a DONE.") || { echo "Juicer pre -a FAILED."; rm -rf ${TEST_OUTDIR}; exit 1; } (${ROOT_DIR}/../juicer post ${TEST_OUTDIR}/test_out.JBAT.assembly ${TEST_OUTDIR}/test_out.JBAT.liftover.agp ${TEST_OUTDIR}/LYZE01.contigs.fasta.gz -o ${TEST_OUTDIR}/test_out.JBAT >/dev/null 2>&1 && echo "Juicer post DONE.") || { echo "Juicer post FAILED."; rm -rf ${TEST_OUTDIR}; exit 1; } rm -rf ${TEST_OUTDIR} echo "Successful." ################################# END OF YAHS SCAFFOLDING TEST #################################”"#!/bin/bash ################################ START OF YAHS SCAFFOLDING TEST ################################ #### download the test data ## test is either "LYZE01" or "CHM13" test="LYZE01" #test="CHM13" wget https://zenodo.org/record/7079219/files/${test}.contigs.fasta.gz wget https://zenodo.org/record/7079219/files/${test}.contigs.fasta.gz.fai wget https://zenodo.org/record/7079219/files/${test}.hic.qn.bam out="test_out" outdir="." contigs="${test}.contigs.fasta.gz" # need to be indexed, i.e., ${test}.contigs.fasta.gz.fai is presented hicaln="${test}.hic.qn.bam" # could be .bed, .bam or .bin file #### run yahs scaffolding ../yahs -o ${outdir}/${out} ${contigs} ${hicaln} || exit 1 ## LYZE01 is a very small genome, ## better result when running YaHS with option "-r 1000,2000,5000,10000,20000,50000,100000,200000,500000" #../yahs -r 1000,2000,5000,10000,20000,50000,100000,200000,500000 -o ${outdir}/${out} ${contigs} ${hicaln} || exit 1 ################################# END OF YAHS SCAFFOLDING TEST ################################# #### change doplot to 1 if you want to generate hic contact maps ## you also need to set the path of juicer_tools, pretext_map, pretext_snapshot, and samtools doplot=0 if [ ${doplot} -eq 0 ]; then exit 0; fi ## need juicer_tools/pretextmap and samtools if want to do hic plot ## juicer_tools: https://github.com/aidenlab/juicer/wiki/Download ## PretextMap: https://github.com/wtsi-hpag/PretextMap ## PretexSnapshot: https://github.com/wtsi-hpag/PretextSnapshot ## samtools: https://github.com/samtools/samtools ## please adjust the path to juicer_tools and samtools ## here we use 12 CPUs and 32Gb memory for juicer_tools pre - adjust it according to your device ## see more information for juicer tools https://github.com/aidenlab/juicer/wiki/Juicer-Tools-Quick-Start ## output file will be ${outdir}/${out}.hic ## the output hic file could be viewed with JuiceBox https://github.com/aidenlab/Juicebox #juicer_tools="java -Xmx32G -jar /bin/juicer_tools_1.22.01.jar pre --threads 12" ## v1.9.9 seems much faster than v1.22.01 juicer_tools="java -Xmx32G -jar /bin/juicer_tools.1.9.9_jcuda.0.8.jar pre" pretext_map="/bin/PretextMap" pretext_snapshot="/bin/PretextSnapshot" samtools="/bin/samtools" #### this is to generate input file for juicer_tools - non-assembly mode or for PretextMap ## here we use 8 CPUs and 32Gb memory for sorting - adjust it according to your device (../juicer pre ${outdir}/${out}.bin ${outdir}/${out}_scaffolds_final.agp ${contigs}.fai 2>${outdir}/tmp_juicer_pre.log | LC_ALL=C sort -k2,2d -k6,6d -T ${outdir} --parallel=8 -S32G | awk 'NF' > ${outdir}/alignments_sorted.txt.part) && (mv ${outdir}/alignments_sorted.txt.part ${outdir}/alignments_sorted.txt) ## prepare chromosome size file from samtools index file # ${samtools} faidx ${outdir}/${out}_scaffolds_final.fa # cut -f1-2 ${outdir}/${out}_scaffolds_final.fa.fai >${outdir}/${out}_scaffolds_final.chrom.sizes ## another way to prepare chromosome size file ## this is an easier way especially when we have >2G scaffolds which need scaling cat ${outdir}/tmp_juicer_pre.log | grep "PRE_C_SIZE" | cut -d' ' -f2- >${outdir}/${out}_scaffolds_final.chrom.sizes ## do juicer hic map (${juicer_tools} ${outdir}/alignments_sorted.txt ${outdir}/${out}.hic.part ${outdir}/${out}_scaffolds_final.chrom.sizes) && (mv ${outdir}/${out}.hic.part ${outdir}/${out}.hic) ## do Pretext hic map (awk 'BEGIN{print "## pairs format v1.0"} {print "#chromsize:\t"$1"\t"$2} END {print "#columns:\treadID\tchr1\tpos1\tchr2\tpos2\tstrand1\tstrand2"}' ${outdir}/${out}_scaffolds_final.chrom.sizes; awk '{print ".\t"$2"\t"$3"\t"$6"\t"$7"\t.\t."}' alignments_sorted.txt) | ${pretext_map} -o ${outdir}/${out}.pretext # and a pretext snapshot ${pretext_snapshot} -m ${outdir}/${out}.pretext --sequences "=full" -o ${outdir} #### this is to generate input file for juicer_tools - assembly (JBAT) mode (-a) ../juicer pre -a -o ${outdir}/${out}_JBAT ${outdir}/${out}.bin ${outdir}/${out}_scaffolds_final.agp ${contigs}.fai 2>${outdir}/tmp_juicer_pre_JBAT.log cat ${outdir}/tmp_juicer_pre_JBAT.log | grep "PRE_C_SIZE" | cut -d' ' -f2- >${outdir}/${out}_JBAT.chrom.sizes (${juicer_tools} ${outdir}/${out}_JBAT.txt ${outdir}/${out}_JBAT.hic.part ${outdir}/${out}_JBAT.chrom.sizes) && (mv ${outdir}/${out}_JBAT.hic.part ${outdir}/${out}_JBAT.hic) #### this is to generate final genome assembly file after manual curation with JuiceBox (JBAT) ## the output assembly file after curation is ${outdir}/${out}_JBAT.review.assembly ## the final output is ${outdir}/${out}_JBAT.FINAL.agp and ${outdir}/${out}_JBAT.FINAL.fa # ../juicer post -o ${outdir}/${out}_JBAT ${outdir}/${out}_JBAT.review.assembly ${outdir}/${out}_JBAT.liftover.agp ${contigs}"脚本中调整,若不行另提供一个实验方案
12-07
当前,全球经济格局深刻调整,数字化浪潮席卷各行各业,智能物流作为现代物流发展的必然趋势和关键支撑,正迎来前所未有的发展机遇。以人工智能、物联网、大数据、云计算、区块链等前沿信息技术的快速迭代与深度融合为驱动,智能物流不再是传统物流的简单技术叠加,而是正在经历一场从自动化向智能化、从被动响应向主动预测、从信息孤岛向全面互联的深刻变革。展望2025年,智能物流系统将不再局限于提升效率、降低成本的基本目标,而是要构建一个感知更全面、决策更精准、执行更高效、协同更顺畅的智慧运行体系。这要求我们必须超越传统思维定式,以系统化、前瞻性的视角,全面规划和实施智能物流系统的建设。本实施方案正是基于对行业发展趋势的深刻洞察和对未来需求的精准把握而制定。我们的核心目标在于:通过构建一个集成了先进感知技术、大数据分析引擎、智能决策算法和高效协同平台的综合智能物流系统,实现物流全链路的可视化、透明化和智能化管理。这不仅是技术层面的革新,更是管理模式和服务能力的全面提升。本方案旨在明确系统建设的战略方向、关键任务、技术路径和实施步骤,确保通过系统化部署,有效应对日益复杂的供应链环境,提升整体物流韧性,优化资源配置效率,降低运营成本,并最终为客户创造更卓越的价值体验。我们致力于通过本方案的实施,引领智能物流迈向更高水平,为构建现代化经济体系、推动高质量发展提供强有力的物流保障。
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